Final Project
Jacob Tumlin
5/11/2022
Data wrangling with R
First we will load the package tidyverse.
library(tidyverse)## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──## ✓ ggplot2 3.3.5 ✓ purrr 0.3.4
## ✓ tibble 3.1.6 ✓ dplyr 1.0.8
## ✓ tidyr 1.2.0 ✓ stringr 1.4.0
## ✓ readr 2.1.2 ✓ forcats 0.5.1## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()Next we will view the flights data.
??flights
my_data <- nycflights13::flights
head(my_data)## # A tibble: 6 × 19
## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time
## <int> <int> <int> <int> <int> <dbl> <int> <int>
## 1 2013 1 1 517 515 2 830 819
## 2 2013 1 1 533 529 4 850 830
## 3 2013 1 1 542 540 2 923 850
## 4 2013 1 1 544 545 -1 1004 1022
## 5 2013 1 1 554 600 -6 812 837
## 6 2013 1 1 554 558 -4 740 728
## # … with 11 more variables: arr_delay <dbl>, carrier <chr>, flight <int>,
## # tailnum <chr>, origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>,
## # hour <dbl>, minute <dbl>, time_hour <dttm>First we will just look at the data on the first of october 14th.
filter(my_data, month == 10, day == 14)## # A tibble: 987 × 19
## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time
## <int> <int> <int> <int> <int> <dbl> <int> <int>
## 1 2013 10 14 451 500 -9 624 648
## 2 2013 10 14 511 517 -6 733 757
## 3 2013 10 14 536 545 -9 814 855
## 4 2013 10 14 540 545 -5 932 933
## 5 2013 10 14 548 545 3 824 827
## 6 2013 10 14 549 600 -11 719 730
## 7 2013 10 14 552 600 -8 650 659
## 8 2013 10 14 553 600 -7 646 700
## 9 2013 10 14 554 600 -6 836 829
## 10 2013 10 14 555 600 -5 832 855
## # … with 977 more rows, and 11 more variables: arr_delay <dbl>, carrier <chr>,
## # flight <int>, tailnum <chr>, origin <chr>, dest <chr>, air_time <dbl>,
## # distance <dbl>, hour <dbl>, minute <dbl>, time_hour <dttm>If we want to subset this into a new variable, we do the following:
oct_14_flight <- filter(my_data, month == 10, day == 14)What if you want to do both print and save the variable?
(oct_14_flight_2 <- filter(my_data, month == 10, day == 14))## # A tibble: 987 × 19
## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time
## <int> <int> <int> <int> <int> <dbl> <int> <int>
## 1 2013 10 14 451 500 -9 624 648
## 2 2013 10 14 511 517 -6 733 757
## 3 2013 10 14 536 545 -9 814 855
## 4 2013 10 14 540 545 -5 932 933
## 5 2013 10 14 548 545 3 824 827
## 6 2013 10 14 549 600 -11 719 730
## 7 2013 10 14 552 600 -8 650 659
## 8 2013 10 14 553 600 -7 646 700
## 9 2013 10 14 554 600 -6 836 829
## 10 2013 10 14 555 600 -5 832 855
## # … with 977 more rows, and 11 more variables: arr_delay <dbl>, carrier <chr>,
## # flight <int>, tailnum <chr>, origin <chr>, dest <chr>, air_time <dbl>,
## # distance <dbl>, hour <dbl>, minute <dbl>, time_hour <dttm>If you want to filter based on different operators, you can use the following:
Equals ==
Not Equal to !=
Greater than >
Less than <
Greater than or equal to >=
Less than or equal to <=
Example using greater than sign.
(flight_through_september <- filter(my_data, month > 10))## # A tibble: 55,403 × 19
## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time
## <int> <int> <int> <int> <int> <dbl> <int> <int>
## 1 2013 11 1 5 2359 6 352 345
## 2 2013 11 1 35 2250 105 123 2356
## 3 2013 11 1 455 500 -5 641 651
## 4 2013 11 1 539 545 -6 856 827
## 5 2013 11 1 542 545 -3 831 855
## 6 2013 11 1 549 600 -11 912 923
## 7 2013 11 1 550 600 -10 705 659
## 8 2013 11 1 554 600 -6 659 701
## 9 2013 11 1 554 600 -6 826 827
## 10 2013 11 1 554 600 -6 749 751
## # … with 55,393 more rows, and 11 more variables: arr_delay <dbl>,
## # carrier <chr>, flight <int>, tailnum <chr>, origin <chr>, dest <chr>,
## # air_time <dbl>, distance <dbl>, hour <dbl>, minute <dbl>, time_hour <dttm>If we dont use the == to mean equals, we get this:
“oct_14_flight <- filter(my_data, month = 10, day = 14)”
You can also use logical operators to be more selective:
and &
or |
not !
Lets use the “or” function to pick flights in march and april
March_April_flights <- filter(my_data, month == 3 | month == 4)
March_4th_flights <- filter(my_data, month == 3 & day == 4)
Non_jan_flights <- filter(my_data, month != 1 )Arrange
Arrange allows us to arrange the dataset based on the variables we desire.
arrange(my_data, year, day, month)## # A tibble: 336,776 × 19
## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time
## <int> <int> <int> <int> <int> <dbl> <int> <int>
## 1 2013 1 1 517 515 2 830 819
## 2 2013 1 1 533 529 4 850 830
## 3 2013 1 1 542 540 2 923 850
## 4 2013 1 1 544 545 -1 1004 1022
## 5 2013 1 1 554 600 -6 812 837
## 6 2013 1 1 554 558 -4 740 728
## 7 2013 1 1 555 600 -5 913 854
## 8 2013 1 1 557 600 -3 709 723
## 9 2013 1 1 557 600 -3 838 846
## 10 2013 1 1 558 600 -2 753 745
## # … with 336,766 more rows, and 11 more variables: arr_delay <dbl>,
## # carrier <chr>, flight <int>, tailnum <chr>, origin <chr>, dest <chr>,
## # air_time <dbl>, distance <dbl>, hour <dbl>, minute <dbl>, time_hour <dttm>We can also do this in descending fashion.
descending <- arrange(my_data, desc(year), desc(day), desc(month))Missing values are always placed at the end of the dataframe regardless of ascending or descending order
Select
We can also select specific columns that we want to look at.
calendar <- select(my_data, year, month, day)
print(calendar)## # A tibble: 336,776 × 3
## year month day
## <int> <int> <int>
## 1 2013 1 1
## 2 2013 1 1
## 3 2013 1 1
## 4 2013 1 1
## 5 2013 1 1
## 6 2013 1 1
## 7 2013 1 1
## 8 2013 1 1
## 9 2013 1 1
## 10 2013 1 1
## # … with 336,766 more rowsWe can also look at a range of columns
calendar2 <- select(my_data, year:day)Lets look at all columns months through carrier.
calendar3 <- select(my_data, year:carrier)We can also choose which columns NOT to include.
everything_else <- select(my_data, -(year:day))There are also some other helper functions that can help you select the columns or data you’re looking for
starts_with(“xyz”) – will select the values that start with xyz
ends_with(“xyz”) — will select the values that end with xyz
contains(“xyz”) —- will select the values that contain xyz
matches(“xyz”) —- will match the identical value xyz
head(my_data)
rename(my_data, departure_time = dep_time)
my_data2 <- rename(my_data, departure_time = dep_time)
Mutate
What if you want to add new columns to your data frame? We have the mute() function for that.
First, lets make smaller data frame so we can see what where doing
my_data_small <- select(my_data, year:day, distance, air_time)Lets calculate the speed of the flights.
mutate(my_data_small, speed = distance / air_time * 60)## # A tibble: 336,776 × 6
## year month day distance air_time speed
## <int> <int> <int> <dbl> <dbl> <dbl>
## 1 2013 1 1 1400 227 370.
## 2 2013 1 1 1416 227 374.
## 3 2013 1 1 1089 160 408.
## 4 2013 1 1 1576 183 517.
## 5 2013 1 1 762 116 394.
## 6 2013 1 1 719 150 288.
## 7 2013 1 1 1065 158 404.
## 8 2013 1 1 229 53 259.
## 9 2013 1 1 944 140 405.
## 10 2013 1 1 733 138 319.
## # … with 336,766 more rowsmy_data_small <- mutate(my_data_small, speed = distance / air_time * 60)What if we wanted to create a new dataframe with ONLY your calculations?
airspeed <- transmute(my_data_small, speed = distance / air_time * 60 , speed2 = distance / air_time)summarize and by_group()
We can use summarize to run a function on a data column to get a single return.
summarize(my_data, delay = mean(dep_delay, na.rm = TRUE))## # A tibble: 1 × 1
## delay
## <dbl>
## 1 12.6We can see that the average delay is about 12 minutes.
We gain additional value in summarize by pairing it with by_group.
by_day <- group_by(my_data, year, month, day)
summarize(by_day, delay = mean(dep_delay, na.rm = TRUE))## `summarise()` has grouped output by 'year', 'month'. You can override using the
## `.groups` argument.## # A tibble: 365 × 4
## # Groups: year, month [12]
## year month day delay
## <int> <int> <int> <dbl>
## 1 2013 1 1 11.5
## 2 2013 1 2 13.9
## 3 2013 1 3 11.0
## 4 2013 1 4 8.95
## 5 2013 1 5 5.73
## 6 2013 1 6 7.15
## 7 2013 1 7 5.42
## 8 2013 1 8 2.55
## 9 2013 1 9 2.28
## 10 2013 1 10 2.84
## # … with 355 more rowsAs you can see, we now have the delay by the days of the year.
Missing Data
What happens if we don’t tell R what do with the missing data?
summarize(by_day, delay = mean(dep_delay))## `summarise()` has grouped output by 'year', 'month'. You can override using the
## `.groups` argument.## # A tibble: 365 × 4
## # Groups: year, month [12]
## year month day delay
## <int> <int> <int> <dbl>
## 1 2013 1 1 NA
## 2 2013 1 2 NA
## 3 2013 1 3 NA
## 4 2013 1 4 NA
## 5 2013 1 5 NA
## 6 2013 1 6 NA
## 7 2013 1 7 NA
## 8 2013 1 8 NA
## 9 2013 1 9 NA
## 10 2013 1 10 NA
## # … with 355 more rowsWe can also filter our data based on NA (which in this dataset was canceled flights).
not_cancelled <- filter(my_data, !is.na(dep_delay), !is.na(arr_delay))Lets run summarize again on this data.
summarize(not_cancelled, delay = mean(dep_delay))## # A tibble: 1 × 1
## delay
## <dbl>
## 1 12.6Counts
We can also count the number of variables that are NA
sum(is.na(my_data$dep_delay))## [1] 8255We can also count the number of variables that are NOT NA
sum(!is.na(my_data$dep_delay))## [1] 328521Piping
With tibble datasets (more on them soon), we can pipe results to get rid of the need to use the dollar signs.
We can then summarize the number of flights by minutes delayed.
my_data %>%
group_by(year, month, day) %>%
summarize(mean = mean(dep_time, na.rm = TRUE))## `summarise()` has grouped output by 'year', 'month'. You can override using the
## `.groups` argument.## # A tibble: 365 × 4
## # Groups: year, month [12]
## year month day mean
## <int> <int> <int> <dbl>
## 1 2013 1 1 1385.
## 2 2013 1 2 1354.
## 3 2013 1 3 1357.
## 4 2013 1 4 1348.
## 5 2013 1 5 1326.
## 6 2013 1 6 1399.
## 7 2013 1 7 1341.
## 8 2013 1 8 1335.
## 9 2013 1 9 1326.
## 10 2013 1 10 1333.
## # … with 355 more rowsTibbles
We will load the library tibble.
library(tibble)Now we will take the time to explore tibbles. Tibbles are modified dataframes which tweaks some of the older features from data frames. R is an old language, and useful things from 20 years ago are not as useful anymore.
as_tibble(iris)## # A tibble: 150 × 5
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## <dbl> <dbl> <dbl> <dbl> <fct>
## 1 5.1 3.5 1.4 0.2 setosa
## 2 4.9 3 1.4 0.2 setosa
## 3 4.7 3.2 1.3 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 5 5 3.6 1.4 0.2 setosa
## 6 5.4 3.9 1.7 0.4 setosa
## 7 4.6 3.4 1.4 0.3 setosa
## 8 5 3.4 1.5 0.2 setosa
## 9 4.4 2.9 1.4 0.2 setosa
## 10 4.9 3.1 1.5 0.1 setosa
## # … with 140 more rowsAs we can see, we have the same data frame, but we have different features.
You can also create a tibble from scratch with tibble().
tibble(
x = 1:5,
y = 1,
z = x ^ 2 + y
)## # A tibble: 5 × 3
## x y z
## <int> <dbl> <dbl>
## 1 1 1 2
## 2 2 1 5
## 3 3 1 10
## 4 4 1 17
## 5 5 1 26You can also use tribble() for basic data table creation.
tribble(
~genea, ~geneb, ~genec,
#######################
110, 122, 114,
6, 5, 4
)## # A tibble: 2 × 3
## genea geneb genec
## <dbl> <dbl> <dbl>
## 1 110 122 114
## 2 6 5 4Tibbles are built to not overwhelm your console when printing data, only showing the first few lines.
This is how a data frame prints.
print(by_day)## # A tibble: 336,776 × 19
## # Groups: year, month, day [365]
## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time
## <int> <int> <int> <int> <int> <dbl> <int> <int>
## 1 2013 1 1 517 515 2 830 819
## 2 2013 1 1 533 529 4 850 830
## 3 2013 1 1 542 540 2 923 850
## 4 2013 1 1 544 545 -1 1004 1022
## 5 2013 1 1 554 600 -6 812 837
## 6 2013 1 1 554 558 -4 740 728
## 7 2013 1 1 555 600 -5 913 854
## 8 2013 1 1 557 600 -3 709 723
## 9 2013 1 1 557 600 -3 838 846
## 10 2013 1 1 558 600 -2 753 745
## # … with 336,766 more rows, and 11 more variables: arr_delay <dbl>,
## # carrier <chr>, flight <int>, tailnum <chr>, origin <chr>, dest <chr>,
## # air_time <dbl>, distance <dbl>, hour <dbl>, minute <dbl>, time_hour <dttm>head(by_day)## # A tibble: 6 × 19
## # Groups: year, month, day [1]
## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time
## <int> <int> <int> <int> <int> <dbl> <int> <int>
## 1 2013 1 1 517 515 2 830 819
## 2 2013 1 1 533 529 4 850 830
## 3 2013 1 1 542 540 2 923 850
## 4 2013 1 1 544 545 -1 1004 1022
## 5 2013 1 1 554 600 -6 812 837
## 6 2013 1 1 554 558 -4 740 728
## # … with 11 more variables: arr_delay <dbl>, carrier <chr>, flight <int>,
## # tailnum <chr>, origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>,
## # hour <dbl>, minute <dbl>, time_hour <dttm>nycflights13::flights %>%
print(n=10, width = Inf)## # A tibble: 336,776 × 19
## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time
## <int> <int> <int> <int> <int> <dbl> <int> <int>
## 1 2013 1 1 517 515 2 830 819
## 2 2013 1 1 533 529 4 850 830
## 3 2013 1 1 542 540 2 923 850
## 4 2013 1 1 544 545 -1 1004 1022
## 5 2013 1 1 554 600 -6 812 837
## 6 2013 1 1 554 558 -4 740 728
## 7 2013 1 1 555 600 -5 913 854
## 8 2013 1 1 557 600 -3 709 723
## 9 2013 1 1 557 600 -3 838 846
## 10 2013 1 1 558 600 -2 753 745
## arr_delay carrier flight tailnum origin dest air_time distance hour minute
## <dbl> <chr> <int> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
## 1 11 UA 1545 N14228 EWR IAH 227 1400 5 15
## 2 20 UA 1714 N24211 LGA IAH 227 1416 5 29
## 3 33 AA 1141 N619AA JFK MIA 160 1089 5 40
## 4 -18 B6 725 N804JB JFK BQN 183 1576 5 45
## 5 -25 DL 461 N668DN LGA ATL 116 762 6 0
## 6 12 UA 1696 N39463 EWR ORD 150 719 5 58
## 7 19 B6 507 N516JB EWR FLL 158 1065 6 0
## 8 -14 EV 5708 N829AS LGA IAD 53 229 6 0
## 9 -8 B6 79 N593JB JFK MCO 140 944 6 0
## 10 8 AA 301 N3ALAA LGA ORD 138 733 6 0
## time_hour
## <dttm>
## 1 2013-01-01 05:00:00
## 2 2013-01-01 05:00:00
## 3 2013-01-01 05:00:00
## 4 2013-01-01 05:00:00
## 5 2013-01-01 06:00:00
## 6 2013-01-01 05:00:00
## 7 2013-01-01 06:00:00
## 8 2013-01-01 06:00:00
## 9 2013-01-01 06:00:00
## 10 2013-01-01 06:00:00
## # … with 336,766 more rowsSubsetting
Subsetting tibbles is easy. Similar to data frames
df_tibble <- tibble(nycflights13::flights)
df_tibble## # A tibble: 336,776 × 19
## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time
## <int> <int> <int> <int> <int> <dbl> <int> <int>
## 1 2013 1 1 517 515 2 830 819
## 2 2013 1 1 533 529 4 850 830
## 3 2013 1 1 542 540 2 923 850
## 4 2013 1 1 544 545 -1 1004 1022
## 5 2013 1 1 554 600 -6 812 837
## 6 2013 1 1 554 558 -4 740 728
## 7 2013 1 1 555 600 -5 913 854
## 8 2013 1 1 557 600 -3 709 723
## 9 2013 1 1 557 600 -3 838 846
## 10 2013 1 1 558 600 -2 753 745
## # … with 336,766 more rows, and 11 more variables: arr_delay <dbl>,
## # carrier <chr>, flight <int>, tailnum <chr>, origin <chr>, dest <chr>,
## # air_time <dbl>, distance <dbl>, hour <dbl>, minute <dbl>, time_hour <dttm>We can subset by column name using the $.
head(df_tibble$carrier)## [1] "UA" "UA" "AA" "B6" "DL" "UA"We can subset by position using [[]].
head(df_tibble[[2]])## [1] 1 1 1 1 1 1If you want to use this in a pipe, you need to use the “.” placeholder.
head(df_tibble %>%
.$carrier
)## [1] "UA" "UA" "AA" "B6" "DL" "UA"Some older functions do not like tibbles, thus you might have to convert them back to dataframes
class(df_tibble)## [1] "tbl_df" "tbl" "data.frame"df_tibble_2 <- as.data.frame(df_tibble)
class(df_tibble_2)## [1] "data.frame"df_tibble## # A tibble: 336,776 × 19
## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time
## <int> <int> <int> <int> <int> <dbl> <int> <int>
## 1 2013 1 1 517 515 2 830 819
## 2 2013 1 1 533 529 4 850 830
## 3 2013 1 1 542 540 2 923 850
## 4 2013 1 1 544 545 -1 1004 1022
## 5 2013 1 1 554 600 -6 812 837
## 6 2013 1 1 554 558 -4 740 728
## 7 2013 1 1 555 600 -5 913 854
## 8 2013 1 1 557 600 -3 709 723
## 9 2013 1 1 557 600 -3 838 846
## 10 2013 1 1 558 600 -2 753 745
## # … with 336,766 more rows, and 11 more variables: arr_delay <dbl>,
## # carrier <chr>, flight <int>, tailnum <chr>, origin <chr>, dest <chr>,
## # air_time <dbl>, distance <dbl>, hour <dbl>, minute <dbl>, time_hour <dttm>head(df_tibble_2)## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time
## 1 2013 1 1 517 515 2 830 819
## 2 2013 1 1 533 529 4 850 830
## 3 2013 1 1 542 540 2 923 850
## 4 2013 1 1 544 545 -1 1004 1022
## 5 2013 1 1 554 600 -6 812 837
## 6 2013 1 1 554 558 -4 740 728
## arr_delay carrier flight tailnum origin dest air_time distance hour minute
## 1 11 UA 1545 N14228 EWR IAH 227 1400 5 15
## 2 20 UA 1714 N24211 LGA IAH 227 1416 5 29
## 3 33 AA 1141 N619AA JFK MIA 160 1089 5 40
## 4 -18 B6 725 N804JB JFK BQN 183 1576 5 45
## 5 -25 DL 461 N668DN LGA ATL 116 762 6 0
## 6 12 UA 1696 N39463 EWR ORD 150 719 5 58
## time_hour
## 1 2013-01-01 05:00:00
## 2 2013-01-01 05:00:00
## 3 2013-01-01 05:00:00
## 4 2013-01-01 05:00:00
## 5 2013-01-01 06:00:00
## 6 2013-01-01 05:00:00tidyr
We will load in the library tidyverse here.
library(tidyverse)How do we make a tidy data set? well the tidyverse follows three rules:
- Each variable must have its own column.
- Each observation has its own row.
- Each value has its own cell.
It is impossible to satisfy two of three rules.
This leads to the following instructions for tidy data:
- Put each data set into a tibble.
- Put each variable into a column.
- Profit.
Picking one consistent method of data storage makes for easier understanding of your code and what is happening behind the scenes.
Lets now look at working with tibbles:
bmi <- tibble(women)
bmi %>%
mutate(bmi = (703 * weight)/(height)^2)## # A tibble: 15 × 3
## height weight bmi
## <dbl> <dbl> <dbl>
## 1 58 115 24.0
## 2 59 117 23.6
## 3 60 120 23.4
## 4 61 123 23.2
## 5 62 126 23.0
## 6 63 129 22.8
## 7 64 132 22.7
## 8 65 135 22.5
## 9 66 139 22.4
## 10 67 142 22.2
## 11 68 146 22.2
## 12 69 150 22.1
## 13 70 154 22.1
## 14 71 159 22.2
## 15 72 164 22.2Spreading and Gathering
Sometimes you’ll find datasets that don’t fit well into a tibble.
We’ll use the built-in data from tidyverse for this part.
table4a## # A tibble: 3 × 3
## country `1999` `2000`
## * <chr> <int> <int>
## 1 Afghanistan 745 2666
## 2 Brazil 37737 80488
## 3 China 212258 213766As you can see from this data, we have one variable in column A (country) but columns b and c are two of the same. Thus there are two observations in each row.
To fix this, we can use the gather function:
table4a %>%
gather('1999','2000',key = 'year', value = 'cases')## # A tibble: 6 × 3
## country year cases
## <chr> <chr> <int>
## 1 Afghanistan 1999 745
## 2 Brazil 1999 37737
## 3 China 1999 212258
## 4 Afghanistan 2000 2666
## 5 Brazil 2000 80488
## 6 China 2000 213766Lets look at another example:
table4b## # A tibble: 3 × 3
## country `1999` `2000`
## * <chr> <int> <int>
## 1 Afghanistan 19987071 20595360
## 2 Brazil 172006362 174504898
## 3 China 1272915272 1280428583As you can see we have the same problem in table 4b.
table4b %>%
gather('1999','2000',key = 'year', value = 'population')## # A tibble: 6 × 3
## country year population
## <chr> <chr> <int>
## 1 Afghanistan 1999 19987071
## 2 Brazil 1999 172006362
## 3 China 1999 1272915272
## 4 Afghanistan 2000 20595360
## 5 Brazil 2000 174504898
## 6 China 2000 1280428583Now what if we want to join these two tables? We can use dplyr.
table4a <- table4a %>%
gather('1999','2000',key = 'year', value = 'cases')
table4b <- table4b %>%
gather('1999','2000',key = 'year', value = 'population')
left_join(table4a, table4b)## Joining, by = c("country", "year")## # A tibble: 6 × 4
## country year cases population
## <chr> <chr> <int> <int>
## 1 Afghanistan 1999 745 19987071
## 2 Brazil 1999 37737 172006362
## 3 China 1999 212258 1272915272
## 4 Afghanistan 2000 2666 20595360
## 5 Brazil 2000 80488 174504898
## 6 China 2000 213766 1280428583table4ab <- left_join(table4a, table4b)## Joining, by = c("country", "year")Spreading
Spreading is the opposite of gathering. Lets look at table 2.
table2## # A tibble: 12 × 4
## country year type count
## <chr> <int> <chr> <int>
## 1 Afghanistan 1999 cases 745
## 2 Afghanistan 1999 population 19987071
## 3 Afghanistan 2000 cases 2666
## 4 Afghanistan 2000 population 20595360
## 5 Brazil 1999 cases 37737
## 6 Brazil 1999 population 172006362
## 7 Brazil 2000 cases 80488
## 8 Brazil 2000 population 174504898
## 9 China 1999 cases 212258
## 10 China 1999 population 1272915272
## 11 China 2000 cases 213766
## 12 China 2000 population 1280428583You can see that we have redundant info in column 1 and 2 we can fix that by combining rows 1 & 2, 3 & 4, etc.
spread(table2, key = type, value = count)## # A tibble: 6 × 4
## country year cases population
## <chr> <int> <int> <int>
## 1 Afghanistan 1999 745 19987071
## 2 Afghanistan 2000 2666 20595360
## 3 Brazil 1999 37737 172006362
## 4 Brazil 2000 80488 174504898
## 5 China 1999 212258 1272915272
## 6 China 2000 213766 1280428583Type is the key of what we are turning into columns, the value is what becomes rows.
In summary, spread makes long tables shorter and wider gather makes wide tables, narrower and longer.
Separating and Pull
Now what happens when we have two observations stuck in one column?
table3## # A tibble: 6 × 3
## country year rate
## * <chr> <int> <chr>
## 1 Afghanistan 1999 745/19987071
## 2 Afghanistan 2000 2666/20595360
## 3 Brazil 1999 37737/172006362
## 4 Brazil 2000 80488/174504898
## 5 China 1999 212258/1272915272
## 6 China 2000 213766/1280428583As you can see, the rate is just population and cases combines we can use separate to fix this.
table3 %>%
separate(rate, into = c("cases", "population"))## # A tibble: 6 × 4
## country year cases population
## <chr> <int> <chr> <chr>
## 1 Afghanistan 1999 745 19987071
## 2 Afghanistan 2000 2666 20595360
## 3 Brazil 1999 37737 172006362
## 4 Brazil 2000 80488 174504898
## 5 China 1999 212258 1272915272
## 6 China 2000 213766 1280428583However, if ou notice, the column type is not correct.
table3 %>%
separate(rate,into =c("cases", "populate"), conver = TRUE)## # A tibble: 6 × 4
## country year cases populate
## <chr> <int> <int> <int>
## 1 Afghanistan 1999 745 19987071
## 2 Afghanistan 2000 2666 20595360
## 3 Brazil 1999 37737 172006362
## 4 Brazil 2000 80488 174504898
## 5 China 1999 212258 1272915272
## 6 China 2000 213766 1280428583You can specify what you want to separate based on.
table3 %>%
separate(rate,into =c("cases", "populate"), sep = "/", conver = TRUE)## # A tibble: 6 × 4
## country year cases populate
## <chr> <int> <int> <int>
## 1 Afghanistan 1999 745 19987071
## 2 Afghanistan 2000 2666 20595360
## 3 Brazil 1999 37737 172006362
## 4 Brazil 2000 80488 174504898
## 5 China 1999 212258 1272915272
## 6 China 2000 213766 1280428583Lets make it look more tidy.
table3 %>%
separate(
year,
into = c("century","year"),
convert = TRUE,
sep = 2
)## # A tibble: 6 × 4
## country century year rate
## <chr> <int> <int> <chr>
## 1 Afghanistan 19 99 745/19987071
## 2 Afghanistan 20 0 2666/20595360
## 3 Brazil 19 99 37737/172006362
## 4 Brazil 20 0 80488/174504898
## 5 China 19 99 212258/1272915272
## 6 China 20 0 213766/1280428583DEPLYR
It is rare that you will be working with a single data table. The DEPLYR package allows you to join two data tables based on common values.
- Mutate joins - adds new variables to one data frame from matching observations in another
- Filtering joins - filters observation from one data frame based whether or not they are prent in another
- Set operations - treats observations as they are set elements
Let’s load in some packages.
library(tidyverse)
library(nycflights13)Lets pull full carrier names based on letter codes.
airlines## # A tibble: 16 × 2
## carrier name
## <chr> <chr>
## 1 9E Endeavor Air Inc.
## 2 AA American Airlines Inc.
## 3 AS Alaska Airlines Inc.
## 4 B6 JetBlue Airways
## 5 DL Delta Air Lines Inc.
## 6 EV ExpressJet Airlines Inc.
## 7 F9 Frontier Airlines Inc.
## 8 FL AirTran Airways Corporation
## 9 HA Hawaiian Airlines Inc.
## 10 MQ Envoy Air
## 11 OO SkyWest Airlines Inc.
## 12 UA United Air Lines Inc.
## 13 US US Airways Inc.
## 14 VX Virgin America
## 15 WN Southwest Airlines Co.
## 16 YV Mesa Airlines Inc.Lets get info about airports.
airports## # A tibble: 1,458 × 8
## faa name lat lon alt tz dst tzone
## <chr> <chr> <dbl> <dbl> <dbl> <dbl> <chr> <chr>
## 1 04G Lansdowne Airport 41.1 -80.6 1044 -5 A America/…
## 2 06A Moton Field Municipal Airport 32.5 -85.7 264 -6 A America/…
## 3 06C Schaumburg Regional 42.0 -88.1 801 -6 A America/…
## 4 06N Randall Airport 41.4 -74.4 523 -5 A America/…
## 5 09J Jekyll Island Airport 31.1 -81.4 11 -5 A America/…
## 6 0A9 Elizabethton Municipal Airport 36.4 -82.2 1593 -5 A America/…
## 7 0G6 Williams County Airport 41.5 -84.5 730 -5 A America/…
## 8 0G7 Finger Lakes Regional Airport 42.9 -76.8 492 -5 A America/…
## 9 0P2 Shoestring Aviation Airfield 39.8 -76.6 1000 -5 U America/…
## 10 0S9 Jefferson County Intl 48.1 -123. 108 -8 A America/…
## # … with 1,448 more rowsLets get info about each plane.
planes## # A tibble: 3,322 × 9
## tailnum year type manufacturer model engines seats speed engine
## <chr> <int> <chr> <chr> <chr> <int> <int> <int> <chr>
## 1 N10156 2004 Fixed wing multi… EMBRAER EMB-… 2 55 NA Turbo…
## 2 N102UW 1998 Fixed wing multi… AIRBUS INDU… A320… 2 182 NA Turbo…
## 3 N103US 1999 Fixed wing multi… AIRBUS INDU… A320… 2 182 NA Turbo…
## 4 N104UW 1999 Fixed wing multi… AIRBUS INDU… A320… 2 182 NA Turbo…
## 5 N10575 2002 Fixed wing multi… EMBRAER EMB-… 2 55 NA Turbo…
## 6 N105UW 1999 Fixed wing multi… AIRBUS INDU… A320… 2 182 NA Turbo…
## 7 N107US 1999 Fixed wing multi… AIRBUS INDU… A320… 2 182 NA Turbo…
## 8 N108UW 1999 Fixed wing multi… AIRBUS INDU… A320… 2 182 NA Turbo…
## 9 N109UW 1999 Fixed wing multi… AIRBUS INDU… A320… 2 182 NA Turbo…
## 10 N110UW 1999 Fixed wing multi… AIRBUS INDU… A320… 2 182 NA Turbo…
## # … with 3,312 more rowsLets get info on the weather at the airports.
weather## # A tibble: 26,115 × 15
## origin year month day hour temp dewp humid wind_dir wind_speed
## <chr> <int> <int> <int> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 EWR 2013 1 1 1 39.0 26.1 59.4 270 10.4
## 2 EWR 2013 1 1 2 39.0 27.0 61.6 250 8.06
## 3 EWR 2013 1 1 3 39.0 28.0 64.4 240 11.5
## 4 EWR 2013 1 1 4 39.9 28.0 62.2 250 12.7
## 5 EWR 2013 1 1 5 39.0 28.0 64.4 260 12.7
## 6 EWR 2013 1 1 6 37.9 28.0 67.2 240 11.5
## 7 EWR 2013 1 1 7 39.0 28.0 64.4 240 15.0
## 8 EWR 2013 1 1 8 39.9 28.0 62.2 250 10.4
## 9 EWR 2013 1 1 9 39.9 28.0 62.2 260 15.0
## 10 EWR 2013 1 1 10 41 28.0 59.6 260 13.8
## # … with 26,105 more rows, and 5 more variables: wind_gust <dbl>, precip <dbl>,
## # pressure <dbl>, visib <dbl>, time_hour <dttm>Lets get info on singular flights.
flights## # A tibble: 336,776 × 19
## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time
## <int> <int> <int> <int> <int> <dbl> <int> <int>
## 1 2013 1 1 517 515 2 830 819
## 2 2013 1 1 533 529 4 850 830
## 3 2013 1 1 542 540 2 923 850
## 4 2013 1 1 544 545 -1 1004 1022
## 5 2013 1 1 554 600 -6 812 837
## 6 2013 1 1 554 558 -4 740 728
## 7 2013 1 1 555 600 -5 913 854
## 8 2013 1 1 557 600 -3 709 723
## 9 2013 1 1 557 600 -3 838 846
## 10 2013 1 1 558 600 -2 753 745
## # … with 336,766 more rows, and 11 more variables: arr_delay <dbl>,
## # carrier <chr>, flight <int>, tailnum <chr>, origin <chr>, dest <chr>,
## # air_time <dbl>, distance <dbl>, hour <dbl>, minute <dbl>, time_hour <dttm>Lets look at how these tables connect:
- Flights -> planes based on tail number = Flights -> airlines through carrier
- Flights -> airports through origin and destination
- Flights -> weather via origin, year/month/day/hour
Keys
Keys are unique identifiers per observation primary key uniquely identifies an observation in its own table.
One way to identify a primary key is as follows:
planes %>%
count(tailnum) %>%
filter(n>1)## # A tibble: 0 × 2
## # … with 2 variables: tailnum <chr>, n <int>This indicates that the tail number is unique.
planes %>%
count(model) %>%
filter(n>1)## # A tibble: 79 × 2
## model n
## <chr> <int>
## 1 717-200 88
## 2 737-301 2
## 3 737-3G7 2
## 4 737-3H4 105
## 5 737-3K2 2
## 6 737-3L9 2
## 7 737-3Q8 5
## 8 737-3TO 2
## 9 737-401 4
## 10 737-4B7 18
## # … with 69 more rowsMutate join
flights2 <- flights %>%
select(year:day, hour, origin, dest, tailnum, carrier)
flights## # A tibble: 336,776 × 19
## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time
## <int> <int> <int> <int> <int> <dbl> <int> <int>
## 1 2013 1 1 517 515 2 830 819
## 2 2013 1 1 533 529 4 850 830
## 3 2013 1 1 542 540 2 923 850
## 4 2013 1 1 544 545 -1 1004 1022
## 5 2013 1 1 554 600 -6 812 837
## 6 2013 1 1 554 558 -4 740 728
## 7 2013 1 1 555 600 -5 913 854
## 8 2013 1 1 557 600 -3 709 723
## 9 2013 1 1 557 600 -3 838 846
## 10 2013 1 1 558 600 -2 753 745
## # … with 336,766 more rows, and 11 more variables: arr_delay <dbl>,
## # carrier <chr>, flight <int>, tailnum <chr>, origin <chr>, dest <chr>,
## # air_time <dbl>, distance <dbl>, hour <dbl>, minute <dbl>, time_hour <dttm>flights2 %>%
select(-origin, -dest) %>%
left_join(airlines, by = 'carrier')## # A tibble: 336,776 × 7
## year month day hour tailnum carrier name
## <int> <int> <int> <dbl> <chr> <chr> <chr>
## 1 2013 1 1 5 N14228 UA United Air Lines Inc.
## 2 2013 1 1 5 N24211 UA United Air Lines Inc.
## 3 2013 1 1 5 N619AA AA American Airlines Inc.
## 4 2013 1 1 5 N804JB B6 JetBlue Airways
## 5 2013 1 1 6 N668DN DL Delta Air Lines Inc.
## 6 2013 1 1 5 N39463 UA United Air Lines Inc.
## 7 2013 1 1 6 N516JB B6 JetBlue Airways
## 8 2013 1 1 6 N829AS EV ExpressJet Airlines Inc.
## 9 2013 1 1 6 N593JB B6 JetBlue Airways
## 10 2013 1 1 6 N3ALAA AA American Airlines Inc.
## # … with 336,766 more rowsWe’ve now added the airline name to our dataframe from the airline dataframe
Other types of joins:
- Inner joins (inner_join) matches a pair of observations when their key is equal.
- Outer joins (outer_join) keeps observations that appear in at least one table.
Unite
What happens if we want to do the inverse of separate?
table5## # A tibble: 6 × 4
## country century year rate
## * <chr> <chr> <chr> <chr>
## 1 Afghanistan 19 99 745/19987071
## 2 Afghanistan 20 00 2666/20595360
## 3 Brazil 19 99 37737/172006362
## 4 Brazil 20 00 80488/174504898
## 5 China 19 99 212258/1272915272
## 6 China 20 00 213766/1280428583table5 %>%
unite(date, century, year)## # A tibble: 6 × 3
## country date rate
## <chr> <chr> <chr>
## 1 Afghanistan 19_99 745/19987071
## 2 Afghanistan 20_00 2666/20595360
## 3 Brazil 19_99 37737/172006362
## 4 Brazil 20_00 80488/174504898
## 5 China 19_99 212258/1272915272
## 6 China 20_00 213766/1280428583table5 %>%
unite(date, century, year, sep = "")## # A tibble: 6 × 3
## country date rate
## <chr> <chr> <chr>
## 1 Afghanistan 1999 745/19987071
## 2 Afghanistan 2000 2666/20595360
## 3 Brazil 1999 37737/172006362
## 4 Brazil 2000 80488/174504898
## 5 China 1999 212258/1272915272
## 6 China 2000 213766/1280428583Missing Values
There can be two types of missing values. NA (explicit) or just no entry (implicit).
gene_data <- tibble(
gene = c('a','a','a','a','b','b','b'),
nuc = c(10,22,24,25,NA,42,67),
run = c(1,2,3,4,2,3,4)
)
gene_data## # A tibble: 7 × 3
## gene nuc run
## <chr> <dbl> <dbl>
## 1 a 10 1
## 2 a 22 2
## 3 a 24 3
## 4 a 25 4
## 5 b NA 2
## 6 b 42 3
## 7 b 67 4The nucleotide count for gene b run 2 is explicit missing. The nucleotide count for gene b run 1 is implicitly missing.
One way we can make implicit missing values explicit is by putting runs in columns.
gene_data %>%
spread(gene, nuc)## # A tibble: 4 × 3
## run a b
## <dbl> <dbl> <dbl>
## 1 1 10 NA
## 2 2 22 NA
## 3 3 24 42
## 4 4 25 67If we want to remove the missing values, we can use spread and gather, and na.rm = TRUE.
gene_data %>%
spread(gene, nuc) %>%
gather(gene, nuc, 'a':'b', na.rm = TRUE)## # A tibble: 6 × 3
## run gene nuc
## <dbl> <chr> <dbl>
## 1 1 a 10
## 2 2 a 22
## 3 3 a 24
## 4 4 a 25
## 5 3 b 42
## 6 4 b 67Another way that we can make implicit values explicit is complete.
gene_data %>%
complete(gene, run)## # A tibble: 8 × 3
## gene run nuc
## <chr> <dbl> <dbl>
## 1 a 1 10
## 2 a 2 22
## 3 a 3 24
## 4 a 4 25
## 5 b 1 NA
## 6 b 2 NA
## 7 b 3 42
## 8 b 4 67Sometimes an NA is present to represent a value being carried forward.
treatment <- tribble(
~ person, ~treatment, ~response,
###############################################
"Issac", 1, 7,
NA, 2, 10,
NA, 3, 9,
"VDB", 1, 8,
NA, 2, 11,
NA, 3, 10,
)
treatment## # A tibble: 6 × 3
## person treatment response
## <chr> <dbl> <dbl>
## 1 Issac 1 7
## 2 <NA> 2 10
## 3 <NA> 3 9
## 4 VDB 1 8
## 5 <NA> 2 11
## 6 <NA> 3 10What we can do here is use the fill() option?
treatment %>%
fill(person)## # A tibble: 6 × 3
## person treatment response
## <chr> <dbl> <dbl>
## 1 Issac 1 7
## 2 Issac 2 10
## 3 Issac 3 9
## 4 VDB 1 8
## 5 VDB 2 11
## 6 VDB 3 10StringR
Let’s load in the packages we will need.
library(tidyverse)
library(stringr)You can creates using single or double quotes.
string1 <- "this is a string"
string2 <- 'to put a "quote" in a string, use the opposite'
string1## [1] "this is a string"string2## [1] "to put a \"quote\" in a string, use the opposite"If you forget to close the string, it will cause problems.
Just hit esc and try again.
Multiple strings are stored in vectors.
string4 <- c("one", "two", "three")
string4## [1] "one" "two" "three"Measuring string length:
str_length(string4)## [1] 3 3 5Lets combine two strings
str_c("X","Y")## [1] "XY"str_c(string1,string2)## [1] "this is a stringto put a \"quote\" in a string, use the opposite"str_c(string1, string2,sep = " ")## [1] "this is a string to put a \"quote\" in a string, use the opposite"str_c("x","y","z",sep = "_")## [1] "x_y_z"Subsetting Strings
You can subset a string by using str sub.
HSP <- c("HSP123", "HSP234", "HSP456")
str_sub(HSP, 4,6)## [1] "123" "234" "456"This just drops the first 4 letters of the strings or we can use negatives to count back from the end
str_sub(HSP, -3,-1)## [1] "123" "234" "456"You can convert the cases of strings like follows:
HSP## [1] "HSP123" "HSP234" "HSP456"str_to_lower(HSP)## [1] "hsp123" "hsp234" "hsp456"str_to_upper() is another form.
Regular Expressions
Lets install a package.
install.packages("htmlwidgets")## Installing package into '/home/student/R/x86_64-pc-linux-gnu-library/4.1'
## (as 'lib' is unspecified)Now we will create expressions using strings.
x <- c('ATTAGA', 'CGCCCCCCCGAT', 'TATTA')
str_view(x, "G")str_view(x, "TA")The next step is “.” where the “.” matches an entry.
str_view(x, ".G.")Anchors allow you to match at the start or the ending.
str_view(x, "^TA")str_view(x, "$TA")Character classes/alternations
- atches any digit
- matches any space
- {abc} matches a, b, or c
str_view(x, "TA[GT]")[^abc] matches everything BUT a,b, or c
str_view(x, "TA[^T]")You can also use | to pick between two alternatives.
str_view(x, "TA[G|T]")Detect Matches
str_detect() returns a logical vector the same length of input.
y <- c("Apple", "banana", "pear")
y## [1] "Apple" "banana" "pear"str_detect(y, "e")## [1] TRUE FALSE TRUEHow many common words contain letter e?
words## [1] "a" "able" "about" "absolute" "accept"
## [6] "account" "achieve" "across" "act" "active"
## [11] "actual" "add" "address" "admit" "advertise"
## [16] "affect" "afford" "after" "afternoon" "again"
## [21] "against" "age" "agent" "ago" "agree"
## [26] "air" "all" "allow" "almost" "along"
## [31] "already" "alright" "also" "although" "always"
## [36] "america" "amount" "and" "another" "answer"
## [41] "any" "apart" "apparent" "appear" "apply"
## [46] "appoint" "approach" "appropriate" "area" "argue"
## [51] "arm" "around" "arrange" "art" "as"
## [56] "ask" "associate" "assume" "at" "attend"
## [61] "authority" "available" "aware" "away" "awful"
## [66] "baby" "back" "bad" "bag" "balance"
## [71] "ball" "bank" "bar" "base" "basis"
## [76] "be" "bear" "beat" "beauty" "because"
## [81] "become" "bed" "before" "begin" "behind"
## [86] "believe" "benefit" "best" "bet" "between"
## [91] "big" "bill" "birth" "bit" "black"
## [96] "bloke" "blood" "blow" "blue" "board"
## [101] "boat" "body" "book" "both" "bother"
## [106] "bottle" "bottom" "box" "boy" "break"
## [111] "brief" "brilliant" "bring" "britain" "brother"
## [116] "budget" "build" "bus" "business" "busy"
## [121] "but" "buy" "by" "cake" "call"
## [126] "can" "car" "card" "care" "carry"
## [131] "case" "cat" "catch" "cause" "cent"
## [136] "centre" "certain" "chair" "chairman" "chance"
## [141] "change" "chap" "character" "charge" "cheap"
## [146] "check" "child" "choice" "choose" "Christ"
## [151] "Christmas" "church" "city" "claim" "class"
## [156] "clean" "clear" "client" "clock" "close"
## [161] "closes" "clothe" "club" "coffee" "cold"
## [166] "colleague" "collect" "college" "colour" "come"
## [171] "comment" "commit" "committee" "common" "community"
## [176] "company" "compare" "complete" "compute" "concern"
## [181] "condition" "confer" "consider" "consult" "contact"
## [186] "continue" "contract" "control" "converse" "cook"
## [191] "copy" "corner" "correct" "cost" "could"
## [196] "council" "count" "country" "county" "couple"
## [201] "course" "court" "cover" "create" "cross"
## [206] "cup" "current" "cut" "dad" "danger"
## [211] "date" "day" "dead" "deal" "dear"
## [216] "debate" "decide" "decision" "deep" "definite"
## [221] "degree" "department" "depend" "describe" "design"
## [226] "detail" "develop" "die" "difference" "difficult"
## [231] "dinner" "direct" "discuss" "district" "divide"
## [236] "do" "doctor" "document" "dog" "door"
## [241] "double" "doubt" "down" "draw" "dress"
## [246] "drink" "drive" "drop" "dry" "due"
## [251] "during" "each" "early" "east" "easy"
## [256] "eat" "economy" "educate" "effect" "egg"
## [261] "eight" "either" "elect" "electric" "eleven"
## [266] "else" "employ" "encourage" "end" "engine"
## [271] "english" "enjoy" "enough" "enter" "environment"
## [276] "equal" "especial" "europe" "even" "evening"
## [281] "ever" "every" "evidence" "exact" "example"
## [286] "except" "excuse" "exercise" "exist" "expect"
## [291] "expense" "experience" "explain" "express" "extra"
## [296] "eye" "face" "fact" "fair" "fall"
## [301] "family" "far" "farm" "fast" "father"
## [306] "favour" "feed" "feel" "few" "field"
## [311] "fight" "figure" "file" "fill" "film"
## [316] "final" "finance" "find" "fine" "finish"
## [321] "fire" "first" "fish" "fit" "five"
## [326] "flat" "floor" "fly" "follow" "food"
## [331] "foot" "for" "force" "forget" "form"
## [336] "fortune" "forward" "four" "france" "free"
## [341] "friday" "friend" "from" "front" "full"
## [346] "fun" "function" "fund" "further" "future"
## [351] "game" "garden" "gas" "general" "germany"
## [356] "get" "girl" "give" "glass" "go"
## [361] "god" "good" "goodbye" "govern" "grand"
## [366] "grant" "great" "green" "ground" "group"
## [371] "grow" "guess" "guy" "hair" "half"
## [376] "hall" "hand" "hang" "happen" "happy"
## [381] "hard" "hate" "have" "he" "head"
## [386] "health" "hear" "heart" "heat" "heavy"
## [391] "hell" "help" "here" "high" "history"
## [396] "hit" "hold" "holiday" "home" "honest"
## [401] "hope" "horse" "hospital" "hot" "hour"
## [406] "house" "how" "however" "hullo" "hundred"
## [411] "husband" "idea" "identify" "if" "imagine"
## [416] "important" "improve" "in" "include" "income"
## [421] "increase" "indeed" "individual" "industry" "inform"
## [426] "inside" "instead" "insure" "interest" "into"
## [431] "introduce" "invest" "involve" "issue" "it"
## [436] "item" "jesus" "job" "join" "judge"
## [441] "jump" "just" "keep" "key" "kid"
## [446] "kill" "kind" "king" "kitchen" "knock"
## [451] "know" "labour" "lad" "lady" "land"
## [456] "language" "large" "last" "late" "laugh"
## [461] "law" "lay" "lead" "learn" "leave"
## [466] "left" "leg" "less" "let" "letter"
## [471] "level" "lie" "life" "light" "like"
## [476] "likely" "limit" "line" "link" "list"
## [481] "listen" "little" "live" "load" "local"
## [486] "lock" "london" "long" "look" "lord"
## [491] "lose" "lot" "love" "low" "luck"
## [496] "lunch" "machine" "main" "major" "make"
## [501] "man" "manage" "many" "mark" "market"
## [506] "marry" "match" "matter" "may" "maybe"
## [511] "mean" "meaning" "measure" "meet" "member"
## [516] "mention" "middle" "might" "mile" "milk"
## [521] "million" "mind" "minister" "minus" "minute"
## [526] "miss" "mister" "moment" "monday" "money"
## [531] "month" "more" "morning" "most" "mother"
## [536] "motion" "move" "mrs" "much" "music"
## [541] "must" "name" "nation" "nature" "near"
## [546] "necessary" "need" "never" "new" "news"
## [551] "next" "nice" "night" "nine" "no"
## [556] "non" "none" "normal" "north" "not"
## [561] "note" "notice" "now" "number" "obvious"
## [566] "occasion" "odd" "of" "off" "offer"
## [571] "office" "often" "okay" "old" "on"
## [576] "once" "one" "only" "open" "operate"
## [581] "opportunity" "oppose" "or" "order" "organize"
## [586] "original" "other" "otherwise" "ought" "out"
## [591] "over" "own" "pack" "page" "paint"
## [596] "pair" "paper" "paragraph" "pardon" "parent"
## [601] "park" "part" "particular" "party" "pass"
## [606] "past" "pay" "pence" "pension" "people"
## [611] "per" "percent" "perfect" "perhaps" "period"
## [616] "person" "photograph" "pick" "picture" "piece"
## [621] "place" "plan" "play" "please" "plus"
## [626] "point" "police" "policy" "politic" "poor"
## [631] "position" "positive" "possible" "post" "pound"
## [636] "power" "practise" "prepare" "present" "press"
## [641] "pressure" "presume" "pretty" "previous" "price"
## [646] "print" "private" "probable" "problem" "proceed"
## [651] "process" "produce" "product" "programme" "project"
## [656] "proper" "propose" "protect" "provide" "public"
## [661] "pull" "purpose" "push" "put" "quality"
## [666] "quarter" "question" "quick" "quid" "quiet"
## [671] "quite" "radio" "rail" "raise" "range"
## [676] "rate" "rather" "read" "ready" "real"
## [681] "realise" "really" "reason" "receive" "recent"
## [686] "reckon" "recognize" "recommend" "record" "red"
## [691] "reduce" "refer" "regard" "region" "relation"
## [696] "remember" "report" "represent" "require" "research"
## [701] "resource" "respect" "responsible" "rest" "result"
## [706] "return" "rid" "right" "ring" "rise"
## [711] "road" "role" "roll" "room" "round"
## [716] "rule" "run" "safe" "sale" "same"
## [721] "saturday" "save" "say" "scheme" "school"
## [726] "science" "score" "scotland" "seat" "second"
## [731] "secretary" "section" "secure" "see" "seem"
## [736] "self" "sell" "send" "sense" "separate"
## [741] "serious" "serve" "service" "set" "settle"
## [746] "seven" "sex" "shall" "share" "she"
## [751] "sheet" "shoe" "shoot" "shop" "short"
## [756] "should" "show" "shut" "sick" "side"
## [761] "sign" "similar" "simple" "since" "sing"
## [766] "single" "sir" "sister" "sit" "site"
## [771] "situate" "six" "size" "sleep" "slight"
## [776] "slow" "small" "smoke" "so" "social"
## [781] "society" "some" "son" "soon" "sorry"
## [786] "sort" "sound" "south" "space" "speak"
## [791] "special" "specific" "speed" "spell" "spend"
## [796] "square" "staff" "stage" "stairs" "stand"
## [801] "standard" "start" "state" "station" "stay"
## [806] "step" "stick" "still" "stop" "story"
## [811] "straight" "strategy" "street" "strike" "strong"
## [816] "structure" "student" "study" "stuff" "stupid"
## [821] "subject" "succeed" "such" "sudden" "suggest"
## [826] "suit" "summer" "sun" "sunday" "supply"
## [831] "support" "suppose" "sure" "surprise" "switch"
## [836] "system" "table" "take" "talk" "tape"
## [841] "tax" "tea" "teach" "team" "telephone"
## [846] "television" "tell" "ten" "tend" "term"
## [851] "terrible" "test" "than" "thank" "the"
## [856] "then" "there" "therefore" "they" "thing"
## [861] "think" "thirteen" "thirty" "this" "thou"
## [866] "though" "thousand" "three" "through" "throw"
## [871] "thursday" "tie" "time" "to" "today"
## [876] "together" "tomorrow" "tonight" "too" "top"
## [881] "total" "touch" "toward" "town" "trade"
## [886] "traffic" "train" "transport" "travel" "treat"
## [891] "tree" "trouble" "true" "trust" "try"
## [896] "tuesday" "turn" "twelve" "twenty" "two"
## [901] "type" "under" "understand" "union" "unit"
## [906] "unite" "university" "unless" "until" "up"
## [911] "upon" "use" "usual" "value" "various"
## [916] "very" "video" "view" "village" "visit"
## [921] "vote" "wage" "wait" "walk" "wall"
## [926] "want" "war" "warm" "wash" "waste"
## [931] "watch" "water" "way" "we" "wear"
## [936] "wednesday" "wee" "week" "weigh" "welcome"
## [941] "well" "west" "what" "when" "where"
## [946] "whether" "which" "while" "white" "who"
## [951] "whole" "why" "wide" "wife" "will"
## [956] "win" "wind" "window" "wish" "with"
## [961] "within" "without" "woman" "wonder" "wood"
## [966] "word" "work" "world" "worry" "worse"
## [971] "worth" "would" "write" "wrong" "year"
## [976] "yes" "yesterday" "yet" "you" "young"sum(str_detect(words, "e"))## [1] 536Lets get more complex, what proportion of words end in a vowel?
mean(str_detect(words, "[aeiou]$"))## [1] 0.2765306mean(str_detect(words, "^[aeiou]"))## [1] 0.1785714Lets find all the words that don’t contain “o” or “u”?
no_o <- !str_detect(words, "[ou]")
no_o## [1] TRUE TRUE FALSE FALSE TRUE FALSE TRUE FALSE TRUE TRUE FALSE TRUE
## [13] TRUE TRUE TRUE TRUE FALSE TRUE FALSE TRUE TRUE TRUE TRUE FALSE
## [25] TRUE TRUE TRUE FALSE FALSE FALSE TRUE TRUE FALSE FALSE TRUE TRUE
## [37] FALSE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE
## [49] TRUE FALSE TRUE FALSE TRUE TRUE TRUE TRUE FALSE FALSE TRUE TRUE
## [61] FALSE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [73] TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE TRUE FALSE TRUE
## [85] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
## [97] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [109] FALSE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [121] FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [133] TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [145] TRUE TRUE TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE
## [157] TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [169] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [181] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [193] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
## [205] FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [217] TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE
## [229] TRUE FALSE TRUE TRUE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE
## [241] FALSE FALSE FALSE TRUE TRUE TRUE TRUE FALSE TRUE FALSE FALSE TRUE
## [253] TRUE TRUE TRUE TRUE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE
## [265] TRUE TRUE FALSE FALSE TRUE TRUE TRUE FALSE FALSE TRUE FALSE FALSE
## [277] TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE
## [289] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [301] TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE FALSE
## [313] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [325] TRUE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [337] FALSE FALSE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [349] FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
## [361] FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE
## [373] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [385] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE
## [397] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [409] FALSE FALSE FALSE TRUE TRUE TRUE TRUE FALSE FALSE TRUE FALSE FALSE
## [421] TRUE TRUE FALSE FALSE FALSE TRUE TRUE FALSE TRUE FALSE FALSE TRUE
## [433] FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE
## [445] TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE TRUE TRUE TRUE FALSE
## [457] TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [469] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [481] TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [493] FALSE FALSE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE
## [505] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE FALSE
## [517] TRUE TRUE TRUE TRUE FALSE TRUE TRUE FALSE FALSE TRUE TRUE FALSE
## [529] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
## [541] FALSE TRUE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [553] TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [565] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [577] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [589] FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE
## [601] TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE FALSE FALSE TRUE TRUE
## [613] TRUE TRUE FALSE FALSE FALSE TRUE FALSE TRUE TRUE TRUE TRUE TRUE
## [625] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [637] TRUE TRUE TRUE TRUE FALSE FALSE TRUE FALSE TRUE TRUE TRUE FALSE
## [649] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [661] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [673] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE
## [685] TRUE FALSE FALSE FALSE FALSE TRUE FALSE TRUE TRUE FALSE FALSE TRUE
## [697] FALSE TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE FALSE TRUE TRUE
## [709] TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE
## [721] FALSE TRUE TRUE TRUE FALSE TRUE FALSE FALSE TRUE FALSE TRUE FALSE
## [733] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE
## [745] TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE
## [757] FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [769] TRUE TRUE FALSE TRUE TRUE TRUE TRUE FALSE TRUE FALSE FALSE FALSE
## [781] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE
## [793] TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
## [805] TRUE TRUE TRUE TRUE FALSE FALSE TRUE TRUE TRUE TRUE FALSE FALSE
## [817] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [829] FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE
## [841] TRUE TRUE TRUE TRUE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE
## [853] TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE
## [865] FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE
## [877] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE
## [889] TRUE TRUE TRUE FALSE FALSE FALSE TRUE FALSE FALSE TRUE TRUE FALSE
## [901] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [913] FALSE FALSE FALSE TRUE FALSE TRUE TRUE TRUE FALSE TRUE TRUE TRUE
## [925] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [937] TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [949] TRUE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE
## [961] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [973] TRUE FALSE TRUE TRUE TRUE TRUE FALSE FALSENow lets extract.
words[!str_detect(words, "[ou]")]## [1] "a" "able" "accept" "achieve" "act"
## [6] "active" "add" "address" "admit" "advertise"
## [11] "affect" "after" "again" "against" "age"
## [16] "agent" "agree" "air" "all" "already"
## [21] "alright" "always" "america" "and" "answer"
## [26] "any" "apart" "apparent" "appear" "apply"
## [31] "area" "arm" "arrange" "art" "as"
## [36] "ask" "at" "attend" "available" "aware"
## [41] "away" "baby" "back" "bad" "bag"
## [46] "balance" "ball" "bank" "bar" "base"
## [51] "basis" "be" "bear" "beat" "bed"
## [56] "begin" "behind" "believe" "benefit" "best"
## [61] "bet" "between" "big" "bill" "birth"
## [66] "bit" "black" "break" "brief" "brilliant"
## [71] "bring" "britain" "by" "cake" "call"
## [76] "can" "car" "card" "care" "carry"
## [81] "case" "cat" "catch" "cent" "centre"
## [86] "certain" "chair" "chairman" "chance" "change"
## [91] "chap" "character" "charge" "cheap" "check"
## [96] "child" "Christ" "Christmas" "city" "claim"
## [101] "class" "clean" "clear" "client" "create"
## [106] "dad" "danger" "date" "day" "dead"
## [111] "deal" "dear" "debate" "decide" "deep"
## [116] "definite" "degree" "department" "depend" "describe"
## [121] "design" "detail" "die" "difference" "dinner"
## [126] "direct" "district" "divide" "draw" "dress"
## [131] "drink" "drive" "dry" "each" "early"
## [136] "east" "easy" "eat" "effect" "egg"
## [141] "eight" "either" "elect" "electric" "eleven"
## [146] "else" "end" "engine" "english" "enter"
## [151] "especial" "even" "evening" "ever" "every"
## [156] "evidence" "exact" "example" "except" "exercise"
## [161] "exist" "expect" "expense" "experience" "explain"
## [166] "express" "extra" "eye" "face" "fact"
## [171] "fair" "fall" "family" "far" "farm"
## [176] "fast" "father" "feed" "feel" "few"
## [181] "field" "fight" "file" "fill" "film"
## [186] "final" "finance" "find" "fine" "finish"
## [191] "fire" "first" "fish" "fit" "five"
## [196] "flat" "fly" "france" "free" "friday"
## [201] "friend" "game" "garden" "gas" "general"
## [206] "germany" "get" "girl" "give" "glass"
## [211] "grand" "grant" "great" "green" "hair"
## [216] "half" "hall" "hand" "hang" "happen"
## [221] "happy" "hard" "hate" "have" "he"
## [226] "head" "health" "hear" "heart" "heat"
## [231] "heavy" "hell" "help" "here" "high"
## [236] "hit" "idea" "identify" "if" "imagine"
## [241] "in" "increase" "indeed" "inside" "instead"
## [246] "interest" "invest" "it" "item" "keep"
## [251] "key" "kid" "kill" "kind" "king"
## [256] "kitchen" "lad" "lady" "land" "large"
## [261] "last" "late" "law" "lay" "lead"
## [266] "learn" "leave" "left" "leg" "less"
## [271] "let" "letter" "level" "lie" "life"
## [276] "light" "like" "likely" "limit" "line"
## [281] "link" "list" "listen" "little" "live"
## [286] "machine" "main" "make" "man" "manage"
## [291] "many" "mark" "market" "marry" "match"
## [296] "matter" "may" "maybe" "mean" "meaning"
## [301] "meet" "member" "middle" "might" "mile"
## [306] "milk" "mind" "minister" "miss" "mister"
## [311] "mrs" "name" "near" "necessary" "need"
## [316] "never" "new" "news" "next" "nice"
## [321] "night" "nine" "pack" "page" "paint"
## [326] "pair" "paper" "paragraph" "parent" "park"
## [331] "part" "party" "pass" "past" "pay"
## [336] "pence" "per" "percent" "perfect" "perhaps"
## [341] "pick" "piece" "place" "plan" "play"
## [346] "please" "practise" "prepare" "present" "press"
## [351] "pretty" "price" "print" "private" "rail"
## [356] "raise" "range" "rate" "rather" "read"
## [361] "ready" "real" "realise" "really" "receive"
## [366] "recent" "red" "refer" "regard" "remember"
## [371] "represent" "research" "respect" "rest" "rid"
## [376] "right" "ring" "rise" "safe" "sale"
## [381] "same" "save" "say" "scheme" "science"
## [386] "seat" "secretary" "see" "seem" "self"
## [391] "sell" "send" "sense" "separate" "serve"
## [396] "service" "set" "settle" "seven" "sex"
## [401] "shall" "share" "she" "sheet" "sick"
## [406] "side" "sign" "similar" "simple" "since"
## [411] "sing" "single" "sir" "sister" "sit"
## [416] "site" "six" "size" "sleep" "slight"
## [421] "small" "space" "speak" "special" "specific"
## [426] "speed" "spell" "spend" "staff" "stage"
## [431] "stairs" "stand" "standard" "start" "state"
## [436] "stay" "step" "stick" "still" "straight"
## [441] "strategy" "street" "strike" "switch" "system"
## [446] "table" "take" "talk" "tape" "tax"
## [451] "tea" "teach" "team" "tell" "ten"
## [456] "tend" "term" "terrible" "test" "than"
## [461] "thank" "the" "then" "there" "they"
## [466] "thing" "think" "thirteen" "thirty" "this"
## [471] "three" "tie" "time" "trade" "traffic"
## [476] "train" "travel" "treat" "tree" "try"
## [481] "twelve" "twenty" "type" "very" "view"
## [486] "village" "visit" "wage" "wait" "walk"
## [491] "wall" "want" "war" "warm" "wash"
## [496] "waste" "watch" "water" "way" "we"
## [501] "wear" "wednesday" "wee" "week" "weigh"
## [506] "well" "west" "what" "when" "where"
## [511] "whether" "which" "while" "white" "why"
## [516] "wide" "wife" "will" "win" "wind"
## [521] "wish" "with" "within" "write" "year"
## [526] "yes" "yesterday" "yet"You can also use str_count() to say how many matches there are in string.
x## [1] "ATTAGA" "CGCCCCCCCGAT" "TATTA"str_count(x, "[GC]")## [1] 1 10 0Lets couple this with mutate.
df <- tibble(
word = words,
i = seq_along(word)
)
df## # A tibble: 980 × 2
## word i
## <chr> <int>
## 1 a 1
## 2 able 2
## 3 about 3
## 4 absolute 4
## 5 accept 5
## 6 account 6
## 7 achieve 7
## 8 across 8
## 9 act 9
## 10 active 10
## # … with 970 more rowsdf %>%
mutate(
vowels = str_count(words, "[aeiou]"),
constonants = str_count(words, "[^aeiou]")
)## # A tibble: 980 × 4
## word i vowels constonants
## <chr> <int> <int> <int>
## 1 a 1 1 0
## 2 able 2 2 2
## 3 about 3 3 2
## 4 absolute 4 4 4
## 5 accept 5 2 4
## 6 account 6 3 4
## 7 achieve 7 4 3
## 8 across 8 2 4
## 9 act 9 1 2
## 10 active 10 3 3
## # … with 970 more rowsLimma Microarray Anaylysis
Let’s load in some packages.
BiocManager::install("affy")## 'getOption("repos")' replaces Bioconductor standard repositories, see
## '?repositories' for details
##
## replacement repositories:
## CRAN: https://cloud.r-project.org## Bioconductor version 3.14 (BiocManager 1.30.16), R 4.1.3 (2022-03-10)## Warning: package(s) not installed when version(s) same as current; use `force = TRUE` to
## re-install: 'affy'## Installation paths not writeable, unable to update packages
## path: /usr/lib/R/library
## packages:
## cluster, MASS, Matrix, mgcv, nlme, spatial, survival## Old packages: 'ade4', 'aplot', 'bbmle', 'BiocManager', 'blob', 'broom',
## 'checkmate', 'circlize', 'cli', 'dichromat', 'dplyr', 'DT', 'ff', 'formatR',
## 'ggfun', 'ggplot2', 'googleVis', 'gplots', 'Gviz', 'haven', 'Hmisc', 'httr',
## 'hwriter', 'igraph', 'interp', 'kernlab', 'knitr', 'limma', 'magrittr',
## 'matrixStats', 'minpack.lm', 'phytools', 'ps', 'RColorBrewer',
## 'RcppArmadillo', 'RcppEigen', 'reshape', 'rmarkdown', 'RSQLite', 'scales',
## 'segmented', 'shinyBS', 'sp', 'systemPipeR', 'tibble', 'uuid', 'vctrs',
## 'vegan', 'xfun', 'zoo'library(ath1121501cdf)## Warning: replacing previous import 'AnnotationDbi::tail' by 'utils::tail' when
## loading 'ath1121501cdf'## Warning: replacing previous import 'AnnotationDbi::head' by 'utils::head' when
## loading 'ath1121501cdf'## library(ath1121501.db)## Loading required package: AnnotationDbi## Loading required package: stats4## Loading required package: BiocGenerics##
## Attaching package: 'BiocGenerics'## The following objects are masked from 'package:dplyr':
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## order, paste, pmax, pmax.int, pmin, pmin.int, Position, rank,
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## union, unique, unsplit, which.max, which.min## Loading required package: Biobase## Welcome to Bioconductor
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## 'browseVignettes()'. To cite Bioconductor, see
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library(limma)##
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library(stats)
library(reshape)##
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## expand, smithslibrary(annotate)## Loading required package: XMLThis code helps set the directory.
setwd("~/Desktop/classroom/myfiles")Read the cel files into the directory.
targets <- readTargets("Bric16_Targets.csv", sep = ",", row.names = "filename")
ab <- ReadAffy()
hist(ab)
Normalizing the microarray experiments
eset <- affy::rma(ab)## Background correcting
## Normalizing
## Calculating ExpressionpData(eset)## sample
## Atha_Ler-0_sShoots_FLT_Rep1_F-F2_raw.CEL 1
## Atha_Ler-0_sShoots_FLT_Rep2_F-F3_raw.CEL 2
## Atha_Ler-0_sShoots_FLT_Rep3_F-F4_raw.CEL 3
## Atha_Ler-0_sShoots_GC_Rep1_H-F2_raw.CEL 4
## Atha_Ler-0_sShoots_GC_Rep2_H-F3_raw.CEL 5
## Atha_Ler-0_sShoots_GC_Rep3_H-F4_raw.CEL 6Lets visualize the normalized data
hist(eset)
Lets characterize the data a bit
ID <- featureNames(eset)
ID## [1] "244901_at" "244902_at"
## [3] "244903_at" "244904_at"
## [5] "244905_at" "244906_at"
## [7] "244907_at" "244908_at"
## [9] "244909_at" "244910_s_at"
## [11] "244911_at" "244912_at"
## [13] "244913_at" "244914_at"
## [15] "244915_s_at" "244916_at"
## [17] "244917_at" "244918_at"
## [19] "244919_at" "244920_s_at"
## [21] "244921_s_at" "244922_s_at"
## [23] "244923_s_at" "244924_at"
## [25] "244925_at" "244926_s_at"
## [27] "244927_at" "244928_s_at"
## [29] "244929_at" "244930_at"
## [31] "244931_at" "244932_at"
## [33] "244933_at" "244934_at"
## [35] "244935_at" "244936_at"
## [37] "244937_at" "244938_at"
## [39] "244939_at" "244940_at"
## [41] "244941_at" "244942_at"
## [43] "244943_at" "244944_s_at"
## [45] "244945_at" "244946_at"
## [47] "244947_at" "244948_at"
## [49] "244949_at" "244950_at"
## [51] "244951_s_at" "244952_at"
## [53] "244953_s_at" "244954_s_at"
## [55] "244955_at" "244956_s_at"
## [57] "244957_at" "244958_at"
## [59] "244959_s_at" "244960_at"
## [61] "244961_at" "244962_at"
## [63] "244963_at" "244964_at"
## [65] "244965_at" "244966_at"
## [67] "244967_at" "244968_at"
## [69] "244969_at" "244970_at"
## [71] "244971_at" "244972_at"
## [73] "244973_at" "244974_at"
## [75] "244975_at" "244976_at"
## [77] "244977_at" "244978_at"
## [79] "244979_at" "244980_at"
## [81] "244981_at" "244982_at"
## [83] "244983_at" "244984_at"
## [85] "244985_at" "244986_at"
## [87] "244987_s_at" "244988_s_at"
## [89] "244989_s_at" "244990_s_at"
## [91] "244991_s_at" "244992_s_at"
## [93] "244993_s_at" "244994_at"
## [95] "244995_at" "244996_at"
## [97] "244997_at" "244998_at"
## [99] "244999_at" "245000_at"
## [101] "245001_at" "245002_at"
## [103] "245003_at" "245004_at"
## [105] "245005_at" "245006_at"
## [107] "245007_at" "245008_at"
## [109] "245009_at" "245010_at"
## [111] "245011_at" "245012_at"
## [113] "245013_at" "245014_at"
## [115] "245015_at" "245016_at"
## [117] "245017_at" "245018_at"
## [119] "245019_at" "245020_at"
## [121] "245021_at" "245022_at"
## [123] "245023_at" "245024_at"
## [125] "245025_at" "245026_at"
## [127] "245027_at" "245028_at"
## [129] "245029_at" "245030_at"
## [131] "245031_at" "245032_at"
## [133] "245033_at" "245034_at"
## [135] "245035_at" "245036_at"
## [137] "245037_at" "245038_at"
## [139] "245039_at" "245040_at"
## [141] "245041_at" "245042_at"
## [143] "245043_at" "245044_at"
## [145] "245045_at" "245046_at"
## [147] "245047_at" "245048_at"
## [149] "245049_at" "245050_at"
## [151] "245051_at" "245052_at"
## [153] "245053_at" "245054_at"
## [155] "245055_at" "245056_at"
## [157] "245057_at" "245058_at"
## [159] "245059_at" "245060_at"
## [161] "245061_at" "245062_at"
## [163] "245063_at" "245064_at"
## [165] "245065_at" "245066_at"
## [167] "245067_at" "245068_at"
## [169] "245069_at" "245070_at"
## [171] "245071_at" "245072_s_at"
## [173] "245073_at" "245074_at"
## [175] "245075_at" "245076_at"
## [177] "245077_at" "245078_at"
## [179] "245079_at" "245080_at"
## [181] "245081_at" "245082_at"
## [183] "245083_at" "245084_at"
## [185] "245085_at" "245086_at"
## [187] "245087_at" "245088_at"
## [189] "245089_at" "245090_at"
## [191] "245091_at" "245092_at"
## [193] "245093_at" "245094_at"
## [195] "245095_at" "245096_at"
## [197] "245097_at" "245098_at"
## [199] "245099_at" "245100_at"
## [201] "245101_at" "245102_at"
## [203] "245103_at" "245104_at"
## [205] "245105_at" "245106_at"
## [207] "245107_at" "245108_at"
## [209] "245109_at" "245110_at"
## [211] "245111_at" "245112_at"
## [213] "245113_at" "245114_at"
## [215] "245115_at" "245116_at"
## [217] "245117_at" "245118_at"
## [219] "245119_at" "245120_at"
## [221] "245121_at" "245122_at"
## [223] "245123_at" "245124_at"
## [225] "245125_at" "245126_at"
## [227] "245127_at" "245128_at"
## [229] "245129_at" "245130_at"
## [231] "245131_s_at" "245132_at"
## [233] "245133_at" "245134_s_at"
## [235] "245135_at" "245136_at"
## [237] "245137_at" "245138_at"
## [239] "245139_at" "245140_at"
## [241] "245141_at" "245142_at"
## [243] "245143_at" "245144_at"
## [245] "245145_at" "245146_at"
## [247] "245147_at" "245148_at"
## [249] "245149_at" "245150_at"
## [251] "245151_at" "245152_at"
## [253] "245153_at" "245154_at"
## [255] "245155_at" "245156_at"
## [257] "245157_at" "245158_at"
## [259] "245159_at" "245160_at"
## [261] "245161_at" "245162_at"
## [263] "245163_at" "245164_at"
## [265] "245165_at" "245166_at"
## [267] "245167_s_at" "245168_at"
## [269] "245169_at" "245170_at"
## [271] "245171_at" "245172_at"
## [273] "245173_at" "245174_at"
## [275] "245175_at" "245176_at"
## [277] "245177_at" "245178_at"
## [279] "245179_at" "245180_at"
## [281] "245181_at" "245182_at"
## [283] "245183_at" "245184_at"
## [285] "245185_at" "245186_at"
## [287] "245187_s_at" "245188_at"
## [289] "245189_at" "245190_at"
## [291] "245191_at" "245192_at"
## [293] "245193_at" "245194_at"
## [295] "245195_at" "245196_at"
## [297] "245197_at" "245198_at"
## [299] "245199_at" "245200_at"
## [301] "245201_at" "245202_at"
## [303] "245203_at" "245204_at"
## [305] "245205_at" "245206_at"
## [307] "245207_at" "245208_at"
## [309] "245209_at" "245210_at"
## [311] "245211_at" "245212_at"
## [313] "245213_at" "245214_at"
## [315] "245215_at" "245216_at"
## [317] "245217_at" "245218_s_at"
## [319] "245219_at" "245220_at"
## [321] "245221_s_at" "245222_at"
## [323] "245223_at" "245224_at"
## [325] "245225_at" "245226_at"
## [327] "245227_s_at" "245228_at"
## [329] "245229_at" "245230_at"
## [331] "245231_at" "245232_at"
## [333] "245233_at" "245234_at"
## [335] "245235_at" "245236_at"
## [337] "245237_at" "245238_at"
## [339] "245239_at" "245240_at"
## [341] "245241_at" "245242_at"
## [343] "245243_at" "245244_at"
## [345] "245245_at" "245246_at"
## [347] "245247_at" "245248_at"
## [349] "245249_at" "245250_at"
## [351] "245251_at" "245252_at"
## [353] "245253_at" "245254_at"
## [355] "245255_at" "245256_at"
## [357] "245257_at" "245258_at"
## [359] "245259_at" "245260_at"
## [361] "245261_at" "245262_at"
## [363] "245263_at" "245264_at"
## [365] "245265_at" "245266_at"
## [367] "245267_at" "245268_at"
## [369] "245269_at" "245270_at"
## [371] "245271_at" "245272_at"
## [373] "245273_at" "245274_at"
## [375] "245275_at" "245276_at"
## [377] "245277_at" "245278_at"
## [379] "245279_at" "245280_at"
## [381] "245281_at" "245282_at"
## [383] "245283_at" "245284_at"
## [385] "245285_s_at" "245286_at"
## [387] "245287_at" "245288_at"
## [389] "245289_at" "245290_at"
## [391] "245291_at" "245292_at"
## [393] "245293_at" "245294_at"
## [395] "245295_at" "245296_at"
## [397] "245297_at" "245298_at"
## [399] "245299_at" "245300_at"
## [401] "245301_at" "245302_at"
## [403] "245303_at" "245304_at"
## [405] "245305_at" "245306_at"
## [407] "245307_at" "245308_at"
## [409] "245309_at" "245310_at"
## [411] "245311_at" "245312_at"
## [413] "245313_at" "245314_at"
## [415] "245315_at" "245316_at"
## [417] "245317_at" "245318_at"
## [419] "245319_at" "245320_at"
## [421] "245321_at" "245322_at"
## [423] "245323_at" "245324_at"
## [425] "245325_at" "245326_at"
## [427] "245327_at" "245328_at"
## [429] "245329_at" "245330_at"
## [431] "245331_at" "245332_at"
## [433] "245333_at" "245334_at"
## [435] "245335_at" "245336_at"
## [437] "245337_at" "245338_at"
## [439] "245339_at" "245340_at"
## [441] "245341_at" "245342_at"
## [443] "245343_at" "245344_at"
## [445] "245345_at" "245346_at"
## [447] "245347_at" "245348_at"
## [449] "245349_at" "245350_at"
## [451] "245351_at" "245352_at"
## [453] "245353_at" "245354_at"
## [455] "245355_at" "245356_at"
## [457] "245357_at" "245358_at"
## [459] "245359_at" "245360_at"
## [461] "245361_at" "245362_at"
## [463] "245363_at" "245364_at"
## [465] "245365_at" "245366_at"
## [467] "245367_at" "245368_at"
## [469] "245369_at" "245370_at"
## [471] "245371_at" "245372_at"
## [473] "245373_s_at" "245374_at"
## [475] "245375_at" "245376_at"
## [477] "245377_at" "245378_at"
## [479] "245379_at" "245380_at"
## [481] "245381_at" "245382_at"
## [483] "245383_at" "245384_at"
## [485] "245385_at" "245386_at"
## [487] "245387_at" "245388_at"
## [489] "245389_at" "245390_at"
## [491] "245391_at" "245392_at"
## [493] "245393_at" "245394_at"
## [495] "245395_at" "245396_at"
## [497] "245397_at" "245398_at"
## [499] "245399_at" "245400_at"
## [501] "245401_at" "245402_at"
## [503] "245403_at" "245404_at"
## [505] "245405_at" "245406_at"
## [507] "245407_at" "245408_at"
## [509] "245409_at" "245410_at"
## [511] "245411_at" "245412_at"
## [513] "245413_at" "245414_at"
## [515] "245415_at" "245416_at"
## [517] "245417_at" "245418_at"
## [519] "245419_at" "245420_at"
## [521] "245421_at" "245422_at"
## [523] "245423_at" "245424_at"
## [525] "245425_at" "245426_at"
## [527] "245427_at" "245428_at"
## [529] "245429_at" "245430_at"
## [531] "245431_at" "245432_at"
## [533] "245433_at" "245434_at"
## [535] "245435_at" "245436_at"
## [537] "245437_at" "245438_at"
## [539] "245439_at" "245440_at"
## [541] "245441_at" "245442_at"
## [543] "245443_at" "245444_at"
## [545] "245445_at" "245446_at"
## [547] "245447_at" "245448_at"
## [549] "245449_at" "245450_at"
## [551] "245451_at" "245452_at"
## [553] "245453_at" "245454_at"
## [555] "245455_at" "245456_at"
## [557] "245457_s_at" "245458_at"
## [559] "245459_at" "245460_at"
## [561] "245461_at" "245462_at"
## [563] "245463_at" "245464_at"
## [565] "245465_at" "245466_at"
## [567] "245467_at" "245468_at"
## [569] "245469_at" "245470_at"
## [571] "245471_at" "245472_at"
## [573] "245473_at" "245474_at"
## [575] "245475_at" "245476_at"
## [577] "245477_at" "245478_at"
## [579] "245479_at" "245480_at"
## [581] "245481_at" "245482_at"
## [583] "245483_at" "245484_at"
## [585] "245485_at" "245486_x_at"
## [587] "245487_at" "245488_at"
## [589] "245489_at" "245490_at"
## [591] "245491_at" "245492_at"
## [593] "245493_at" "245494_at"
## [595] "245495_at" "245496_at"
## [597] "245497_at" "245498_at"
## [599] "245499_at" "245500_at"
## [601] "245501_at" "245502_at"
## [603] "245503_at" "245504_at"
## [605] "245505_at" "245506_at"
## [607] "245507_at" "245508_at"
## [609] "245509_at" "245510_at"
## [611] "245511_at" "245512_at"
## [613] "245513_at" "245514_at"
## [615] "245515_at" "245516_at"
## [617] "245517_at" "245518_at"
## [619] "245519_at" "245520_at"
## [621] "245521_at" "245522_at"
## [623] "245523_at" "245524_at"
## [625] "245525_at" "245526_at"
## [627] "245527_at" "245528_at"
## [629] "245529_at" "245530_at"
## [631] "245531_at" "245532_at"
## [633] "245533_at" "245534_at"
## [635] "245535_at" "245536_at"
## [637] "245537_at" "245538_at"
## [639] "245539_at" "245540_at"
## [641] "245541_at" "245542_at"
## [643] "245543_at" "245544_at"
## [645] "245545_at" "245546_at"
## [647] "245547_at" "245548_at"
## [649] "245549_at" "245550_at"
## [651] "245551_at" "245552_at"
## [653] "245553_at" "245554_at"
## [655] "245555_at" "245556_at"
## [657] "245557_at" "245558_at"
## [659] "245559_at" "245560_at"
## [661] "245561_at" "245562_at"
## [663] "245563_at" "245564_at"
## [665] "245565_at" "245566_at"
## [667] "245567_at" "245568_at"
## [669] "245569_at" "245570_at"
## [671] "245571_at" "245572_at"
## [673] "245573_at" "245574_at"
## [675] "245575_at" "245576_at"
## [677] "245577_at" "245578_at"
## [679] "245579_at" "245580_at"
## [681] "245581_at" "245582_at"
## [683] "245583_at" "245584_at"
## [685] "245585_at" "245586_at"
## [687] "245587_at" "245588_at"
## [689] "245589_at" "245590_at"
## [691] "245591_at" "245592_at"
## [693] "245593_at" "245594_at"
## [695] "245595_at" "245596_at"
## [697] "245597_at" "245598_at"
## [699] "245599_at" "245600_at"
## [701] "245601_at" "245602_at"
## [703] "245603_at" "245604_at"
## [705] "245605_at" "245606_at"
## [707] "245607_at" "245608_at"
## [709] "245609_at" "245610_at"
## [711] "245611_at" "245612_at"
## [713] "245613_at" "245614_at"
## [715] "245615_at" "245616_at"
## [717] "245617_at" "245618_at"
## [719] "245619_at" "245620_at"
## [721] "245621_at" "245622_at"
## [723] "245623_s_at" "245624_at"
## [725] "245625_at" "245626_at"
## [727] "245627_at" "245628_at"
## [729] "245629_at" "245630_at"
## [731] "245631_at" "245632_at"
## [733] "245633_at" "245634_at"
## [735] "245635_at" "245636_at"
## [737] "245637_at" "245638_s_at"
## [739] "245639_at" "245640_at"
## [741] "245641_at" "245642_at"
## [743] "245643_at" "245644_at"
## [745] "245645_at" "245646_x_at"
## [747] "245647_at" "245648_at"
## [749] "245649_at" "245650_at"
## [751] "245651_s_at" "245652_at"
## [753] "245653_at" "245654_at"
## [755] "245655_at" "245656_at"
## [757] "245657_at" "245658_at"
## [759] "245659_at" "245660_at"
## [761] "245661_at" "245662_at"
## [763] "245663_at" "245664_at"
## [765] "245665_at" "245666_at"
## [767] "245667_at" "245668_at"
## [769] "245669_at" "245670_at"
## [771] "245671_at" "245672_at"
## [773] "245673_at" "245674_at"
## [775] "245675_at" "245676_at"
## [777] "245677_at" "245678_at"
## [779] "245679_at" "245680_at"
## [781] "245681_at" "245682_at"
## [783] "245683_at" "245684_at"
## [785] "245685_at" "245686_at"
## [787] "245687_at" "245688_at"
## [789] "245689_at" "245690_at"
## [791] "245691_at" "245692_at"
## [793] "245693_at" "245694_at"
## [795] "245695_at" "245696_at"
## [797] "245697_at" "245698_at"
## [799] "245699_at" "245700_at"
## [801] "245701_at" "245702_at"
## [803] "245703_at" "245704_at"
## [805] "245705_at" "245706_at"
## [807] "245707_at" "245708_at"
## [809] "245709_at" "245710_at"
## [811] "245711_at" "245712_at"
## [813] "245713_at" "245714_at"
## [815] "245715_s_at" "245716_at"
## [817] "245717_at" "245718_at"
## [819] "245719_at" "245720_at"
## [821] "245721_s_at" "245722_at"
## [823] "245723_at" "245724_at"
## [825] "245725_at" "245726_at"
## [827] "245727_at" "245728_at"
## [829] "245729_at" "245730_at"
## [831] "245731_at" "245732_at"
## [833] "245733_at" "245734_at"
## [835] "245735_at" "245736_at"
## [837] "245737_at" "245738_at"
## [839] "245739_at" "245740_at"
## [841] "245741_at" "245742_at"
## [843] "245743_at" "245744_at"
## [845] "245745_at" "245746_at"
## [847] "245747_at" "245748_at"
## [849] "245749_at" "245750_at"
## [851] "245751_s_at" "245752_at"
## [853] "245753_at" "245754_at"
## [855] "245755_at" "245756_at"
## [857] "245757_at" "245758_at"
## [859] "245759_at" "245760_s_at"
## [861] "245761_at" "245762_at"
## [863] "245763_at" "245764_s_at"
## [865] "245765_at" "245766_at"
## [867] "245767_at" "245768_at"
## [869] "245769_at" "245770_at"
## [871] "245771_at" "245772_at"
## [873] "245773_at" "245774_at"
## [875] "245775_at" "245776_at"
## [877] "245777_at" "245778_at"
## [879] "245779_at" "245780_at"
## [881] "245781_at" "245782_at"
## [883] "245783_s_at" "245784_at"
## [885] "245785_at" "245786_at"
## [887] "245787_at" "245788_at"
## [889] "245789_at" "245790_at"
## [891] "245791_at" "245792_at"
## [893] "245793_at" "245794_at"
## [895] "245795_at" "245796_at"
## [897] "245797_at" "245798_at"
## [899] "245799_at" "245800_at"
## [901] "245801_at" "245802_at"
## [903] "245803_at" "245804_at"
## [905] "245805_at" "245806_at"
## [907] "245807_at" "245808_at"
## [909] "245809_at" "245810_at"
## [911] "245811_at" "245812_at"
## [913] "245813_at" "245814_at"
## [915] "245815_at" "245816_at"
## [917] "245817_at" "245818_at"
## [919] "245819_at" "245820_at"
## [921] "245821_at" "245822_at"
## [923] "245823_at" "245824_at"
## [925] "245825_at" "245826_at"
## [927] "245827_at" "245828_at"
## [929] "245829_at" "245830_at"
## [931] "245831_at" "245832_at"
## [933] "245833_at" "245834_at"
## [935] "245835_at" "245836_at"
## [937] "245837_at" "245838_at"
## [939] "245839_at" "245840_at"
## [941] "245841_s_at" "245842_at"
## [943] "245843_at" "245844_at"
## [945] "245845_at" "245846_at"
## [947] "245847_at" "245848_at"
## [949] "245849_at" "245850_at"
## [951] "245851_at" "245852_at"
## [953] "245853_at" "245854_at"
## [955] "245855_at" "245856_at"
## [957] "245857_at" "245858_at"
## [959] "245859_at" "245860_at"
## [961] "245861_at" "245862_at"
## [963] "245863_s_at" "245864_at"
## [965] "245865_at" "245866_s_at"
## [967] "245867_at" "245868_at"
## [969] "245869_at" "245870_at"
## [971] "245871_at" "245872_at"
## [973] "245873_at" "245874_at"
## [975] "245875_at" "245876_at"
## [977] "245877_at" "245878_at"
## [979] "245879_at" "245880_at"
## [981] "245881_at" "245882_at"
## [983] "245883_at" "245884_at"
## [985] "245885_at" "245886_at"
## [987] "245887_at" "245888_at"
## [989] "245889_at" "245890_at"
## [991] "245891_at" "245892_at"
## [993] "245893_at" "245894_at"
## [995] "245895_at" "245896_at"
## [997] "245897_at" "245898_at"
## [999] "245899_at" "245900_at"
## [1001] "245901_at" "245902_at"
## [1003] "245903_at" "245904_at"
## [1005] "245905_at" "245906_at"
## [1007] "245907_at" "245908_at"
## [1009] "245909_at" "245910_at"
## [1011] "245911_at" "245912_at"
## [1013] "245913_at" "245914_at"
## [1015] "245915_s_at" "245916_at"
## [1017] "245917_at" "245918_at"
## [1019] "245919_at" "245920_at"
## [1021] "245921_at" "245922_at"
## [1023] "245923_at" "245924_at"
## [1025] "245925_at" "245926_at"
## [1027] "245927_at" "245928_s_at"
## [1029] "245929_at" "245930_at"
## [1031] "245931_at" "245932_at"
## [1033] "245933_at" "245934_at"
## [1035] "245935_at" "245936_at"
## [1037] "245937_at" "245938_at"
## [1039] "245939_at" "245940_at"
## [1041] "245941_at" "245942_at"
## [1043] "245943_at" "245944_at"
## [1045] "245945_at" "245946_at"
## [1047] "245947_at" "245948_at"
## [1049] "245949_at" "245950_at"
## [1051] "245951_at" "245952_at"
## [1053] "245953_at" "245954_at"
## [1055] "245955_at" "245956_s_at"
## [1057] "245957_at" "245958_at"
## [1059] "245959_at" "245960_at"
## [1061] "245961_at" "245962_at"
## [1063] "245963_at" "245964_at"
## [1065] "245965_at" "245966_at"
## [1067] "245967_at" "245968_at"
## [1069] "245969_at" "245970_at"
## [1071] "245971_at" "245972_at"
## [1073] "245973_at" "245974_at"
## [1075] "245975_at" "245976_at"
## [1077] "245977_at" "245978_at"
## [1079] "245979_at" "245980_at"
## [1081] "245981_at" "245982_at"
## [1083] "245983_at" "245984_at"
## [1085] "245985_at" "245986_at"
## [1087] "245987_at" "245988_at"
## [1089] "245989_s_at" "245990_at"
## [1091] "245991_at" "245992_at"
## [1093] "245993_at" "245994_at"
## [1095] "245995_at" "245996_at"
## [1097] "245997_at" "245998_at"
## [1099] "245999_at" "246000_at"
## [1101] "246001_at" "246002_at"
## [1103] "246003_at" "246004_at"
## [1105] "246005_at" "246006_at"
## [1107] "246007_at" "246008_at"
## [1109] "246009_at" "246010_at"
## [1111] "246011_at" "246012_at"
## [1113] "246013_at" "246014_at"
## [1115] "246015_at" "246016_at"
## [1117] "246017_at" "246018_at"
## [1119] "246019_at" "246020_at"
## [1121] "246021_at" "246022_at"
## [1123] "246023_at" "246024_at"
## [1125] "246025_at" "246026_at"
## [1127] "246027_at" "246028_at"
## [1129] "246029_at" "246030_at"
## [1131] "246031_at" "246032_s_at"
## [1133] "246033_at" "246034_at"
## [1135] "246035_at" "246036_at"
## [1137] "246037_at" "246038_s_at"
## [1139] "246039_at" "246040_at"
## [1141] "246041_at" "246042_at"
## [1143] "246043_at" "246044_at"
## [1145] "246045_at" "246046_at"
## [1147] "246047_at" "246048_at"
## [1149] "246049_at" "246050_s_at"
## [1151] "246051_at" "246052_at"
## [1153] "246053_at" "246054_at"
## [1155] "246055_at" "246056_at"
## [1157] "246057_at" "246058_at"
## [1159] "246059_at" "246060_at"
## [1161] "246061_at" "246062_at"
## [1163] "246063_at" "246064_at"
## [1165] "246065_at" "246066_at"
## [1167] "246067_at" "246068_at"
## [1169] "246069_at" "246070_at"
## [1171] "246071_at" "246072_at"
## [1173] "246073_at" "246074_at"
## [1175] "246075_at" "246076_at"
## [1177] "246077_at" "246078_s_at"
## [1179] "246079_at" "246080_at"
## [1181] "246081_s_at" "246082_at"
## [1183] "246083_at" "246084_at"
## [1185] "246085_at" "246086_at"
## [1187] "246087_at" "246088_at"
## [1189] "246089_at" "246090_at"
## [1191] "246091_at" "246092_at"
## [1193] "246093_at" "246094_at"
## [1195] "246095_at" "246096_at"
## [1197] "246097_at" "246098_at"
## [1199] "246099_at" "246100_at"
## [1201] "246101_at" "246102_at"
## [1203] "246103_at" "246104_at"
## [1205] "246105_at" "246106_at"
## [1207] "246107_at" "246108_at"
## [1209] "246109_at" "246110_at"
## [1211] "246111_at" "246112_at"
## [1213] "246113_at" "246114_at"
## [1215] "246115_at" "246116_at"
## [1217] "246117_at" "246118_at"
## [1219] "246119_at" "246120_at"
## [1221] "246121_at" "246122_at"
## [1223] "246123_at" "246124_at"
## [1225] "246125_at" "246126_at"
## [1227] "246127_s_at" "246128_at"
## [1229] "246129_at" "246130_at"
## [1231] "246131_at" "246132_at"
## [1233] "246133_at" "246134_at"
## [1235] "246135_at" "246136_at"
## [1237] "246137_at" "246138_at"
## [1239] "246139_at" "246140_at"
## [1241] "246141_at" "246142_at"
## [1243] "246143_at" "246144_at"
## [1245] "246145_at" "246146_at"
## [1247] "246147_s_at" "246148_at"
## [1249] "246149_at" "246150_at"
## [1251] "246151_at" "246152_at"
## [1253] "246153_s_at" "246154_at"
## [1255] "246155_at" "246156_at"
## [1257] "246157_at" "246158_at"
## [1259] "246159_at" "246160_at"
## [1261] "246161_at" "246162_at"
## [1263] "246163_at" "246164_at"
## [1265] "246165_at" "246166_at"
## [1267] "246167_at" "246168_at"
## [1269] "246169_at" "246170_at"
## [1271] "246171_at" "246172_s_at"
## [1273] "246173_s_at" "246174_s_at"
## [1275] "246175_s_at" "246176_at"
## [1277] "246177_at" "246178_s_at"
## [1279] "246179_at" "246180_at"
## [1281] "246181_at" "246182_at"
## [1283] "246183_at" "246184_at"
## [1285] "246185_at" "246186_at"
## [1287] "246187_at" "246188_at"
## [1289] "246189_at" "246190_at"
## [1291] "246191_at" "246192_at"
## [1293] "246193_at" "246194_at"
## [1295] "246195_at" "246196_at"
## [1297] "246197_at" "246198_at"
## [1299] "246199_at" "246200_at"
## [1301] "246201_at" "246202_at"
## [1303] "246203_at" "246204_at"
## [1305] "246205_at" "246206_at"
## [1307] "246207_at" "246208_at"
## [1309] "246209_at" "246210_at"
## [1311] "246211_at" "246212_at"
## [1313] "246213_at" "246214_at"
## [1315] "246215_at" "246216_at"
## [1317] "246217_at" "246218_at"
## [1319] "246219_at" "246220_at"
## [1321] "246221_at" "246222_at"
## [1323] "246223_at" "246224_at"
## [1325] "246225_at" "246226_at"
## [1327] "246227_at" "246228_at"
## [1329] "246229_at" "246230_at"
## [1331] "246231_at" "246232_at"
## [1333] "246233_at" "246234_at"
## [1335] "246235_at" "246236_at"
## [1337] "246237_at" "246238_at"
## [1339] "246239_at" "246240_at"
## [1341] "246241_at" "246242_at"
## [1343] "246243_at" "246244_at"
## [1345] "246245_at" "246246_at"
## [1347] "246247_at" "246248_at"
## [1349] "246249_at" "246250_at"
## [1351] "246251_at" "246252_s_at"
## [1353] "246253_at" "246254_at"
## [1355] "246255_at" "246256_at"
## [1357] "246257_at" "246258_at"
## [1359] "246259_at" "246260_at"
## [1361] "246261_at" "246262_at"
## [1363] "246263_at" "246264_at"
## [1365] "246265_at" "246266_at"
## [1367] "246267_at" "246268_at"
## [1369] "246269_at" "246270_at"
## [1371] "246271_at" "246272_at"
## [1373] "246273_at" "246274_at"
## [1375] "246275_at" "246276_at"
## [1377] "246277_at" "246278_at"
## [1379] "246279_at" "246280_at"
## [1381] "246281_at" "246282_at"
## [1383] "246283_at" "246284_at"
## [1385] "246285_at" "246286_at"
## [1387] "246287_at" "246288_at"
## [1389] "246289_at" "246290_at"
## [1391] "246291_at" "246292_at"
## [1393] "246293_at" "246294_at"
## [1395] "246295_at" "246296_at"
## [1397] "246297_at" "246298_at"
## [1399] "246299_at" "246300_at"
## [1401] "246301_at" "246302_at"
## [1403] "246303_at" "246304_at"
## [1405] "246305_at" "246306_at"
## [1407] "246307_at" "246308_at"
## [1409] "246309_at" "246310_at"
## [1411] "246311_at" "246312_at"
## [1413] "246313_at" "246314_at"
## [1415] "246315_at" "246316_at"
## [1417] "246317_at" "246318_at"
## [1419] "246319_at" "246320_at"
## [1421] "246321_at" "246322_at"
## [1423] "246323_at" "246324_at"
## [1425] "246325_at" "246326_at"
## [1427] "246327_at" "246328_at"
## [1429] "246329_at" "246330_at"
## [1431] "246331_at" "246332_at"
## [1433] "246333_at" "246334_at"
## [1435] "246335_at" "246336_at"
## [1437] "246337_at" "246338_s_at"
## [1439] "246339_at" "246340_s_at"
## [1441] "246341_x_at" "246342_at"
## [1443] "246343_at" "246344_at"
## [1445] "246345_at" "246346_at"
## [1447] "246347_at" "246348_at"
## [1449] "246349_at" "246350_at"
## [1451] "246351_at" "246352_at"
## [1453] "246353_s_at" "246354_at"
## [1455] "246355_at" "246356_x_at"
## [1457] "246357_x_at" "246358_x_at"
## [1459] "246359_x_at" "246360_at"
## [1461] "246361_s_at" "246362_at"
## [1463] "246363_at" "246364_at"
## [1465] "246365_at" "246366_at"
## [1467] "246367_at" "246368_at"
## [1469] "246369_at" "246370_at"
## [1471] "246371_at" "246372_at"
## [1473] "246373_at" "246374_at"
## [1475] "246375_at" "246376_at"
## [1477] "246377_at" "246378_at"
## [1479] "246379_s_at" "246380_at"
## [1481] "246381_at" "246382_at"
## [1483] "246383_at" "246384_at"
## [1485] "246385_at" "246386_at"
## [1487] "246387_at" "246388_at"
## [1489] "246389_at" "246390_at"
## [1491] "246391_at" "246392_at"
## [1493] "246393_at" "246394_at"
## [1495] "246395_at" "246396_at"
## [1497] "246397_at" "246398_at"
## [1499] "246399_at" "246400_at"
## [1501] "246401_at" "246402_at"
## [1503] "246403_at" "246404_at"
## [1505] "246405_at" "246406_at"
## [1507] "246407_at" "246408_at"
## [1509] "246409_at" "246410_at"
## [1511] "246411_at" "246412_at"
## [1513] "246413_at" "246414_at"
## [1515] "246415_at" "246416_at"
## [1517] "246417_at" "246418_at"
## [1519] "246419_at" "246420_at"
## [1521] "246421_at" "246422_at"
## [1523] "246423_at" "246424_at"
## [1525] "246425_at" "246426_at"
## [1527] "246427_at" "246428_at"
## [1529] "246429_at" "246430_at"
## [1531] "246431_at" "246432_at"
## [1533] "246433_at" "246434_at"
## [1535] "246435_at" "246436_at"
## [1537] "246437_at" "246438_at"
## [1539] "246439_at" "246440_at"
## [1541] "246441_at" "246442_at"
## [1543] "246443_at" "246444_at"
## [1545] "246445_at" "246446_at"
## [1547] "246447_at" "246448_at"
## [1549] "246449_at" "246450_at"
## [1551] "246451_at" "246452_at"
## [1553] "246453_at" "246454_at"
## [1555] "246455_at" "246456_at"
## [1557] "246457_at" "246458_at"
## [1559] "246459_at" "246460_at"
## [1561] "246461_at" "246462_at"
## [1563] "246463_at" "246464_at"
## [1565] "246465_at" "246466_at"
## [1567] "246467_at" "246468_at"
## [1569] "246469_at" "246470_at"
## [1571] "246471_s_at" "246472_at"
## [1573] "246473_at" "246474_at"
## [1575] "246475_at" "246476_at"
## [1577] "246477_at" "246478_at"
## [1579] "246479_at" "246480_at"
## [1581] "246481_s_at" "246482_at"
## [1583] "246483_at" "246484_at"
## [1585] "246485_at" "246486_at"
## [1587] "246487_at" "246488_at"
## [1589] "246489_at" "246490_at"
## [1591] "246491_at" "246492_at"
## [1593] "246493_at" "246494_at"
## [1595] "246495_at" "246496_at"
## [1597] "246497_at" "246498_at"
## [1599] "246499_at" "246500_at"
## [1601] "246501_at" "246502_at"
## [1603] "246503_at" "246504_at"
## [1605] "246505_at" "246506_at"
## [1607] "246507_at" "246508_at"
## [1609] "246509_at" "246510_at"
## [1611] "246511_at" "246512_at"
## [1613] "246513_at" "246514_at"
## [1615] "246515_at" "246516_at"
## [1617] "246517_at" "246518_at"
## [1619] "246519_at" "246520_at"
## [1621] "246521_at" "246522_at"
## [1623] "246523_at" "246524_at"
## [1625] "246525_at" "246526_at"
## [1627] "246527_at" "246528_at"
## [1629] "246529_at" "246530_at"
## [1631] "246531_at" "246532_at"
## [1633] "246533_at" "246534_at"
## [1635] "246535_at" "246536_at"
## [1637] "246537_at" "246538_at"
## [1639] "246539_at" "246540_at"
## [1641] "246541_at" "246542_at"
## [1643] "246543_at" "246544_at"
## [1645] "246545_at" "246546_at"
## [1647] "246547_at" "246548_at"
## [1649] "246549_at" "246550_at"
## [1651] "246551_at" "246552_at"
## [1653] "246553_at" "246554_at"
## [1655] "246555_at" "246556_at"
## [1657] "246557_at" "246558_at"
## [1659] "246559_at" "246560_at"
## [1661] "246561_at" "246562_at"
## [1663] "246563_at" "246564_at"
## [1665] "246565_at" "246566_at"
## [1667] "246567_at" "246568_at"
## [1669] "246569_at" "246570_at"
## [1671] "246571_at" "246572_at"
## [1673] "246573_at" "246574_at"
## [1675] "246575_at" "246576_at"
## [1677] "246577_at" "246578_at"
## [1679] "246579_at" "246580_at"
## [1681] "246581_at" "246582_at"
## [1683] "246583_at" "246584_at"
## [1685] "246585_at" "246586_at"
## [1687] "246587_at" "246588_at"
## [1689] "246589_at" "246590_at"
## [1691] "246591_at" "246592_at"
## [1693] "246593_at" "246594_at"
## [1695] "246595_at" "246596_at"
## [1697] "246597_at" "246598_at"
## [1699] "246599_at" "246600_at"
## [1701] "246601_at" "246602_at"
## [1703] "246603_at" "246604_at"
## [1705] "246605_at" "246606_at"
## [1707] "246607_at" "246608_at"
## [1709] "246609_at" "246610_at"
## [1711] "246611_at" "246612_at"
## [1713] "246613_at" "246614_at"
## [1715] "246615_at" "246616_at"
## [1717] "246617_at" "246618_at"
## [1719] "246619_at" "246620_at"
## [1721] "246621_at" "246622_at"
## [1723] "246623_at" "246624_at"
## [1725] "246625_at" "246626_at"
## [1727] "246627_s_at" "246628_at"
## [1729] "246629_at" "246630_at"
## [1731] "246631_at" "246632_at"
## [1733] "246633_at" "246634_at"
## [1735] "246635_at" "246636_at"
## [1737] "246637_at" "246638_at"
## [1739] "246639_x_at" "246640_x_at"
## [1741] "246641_s_at" "246642_s_at"
## [1743] "246643_s_at" "246644_at"
## [1745] "246645_at" "246646_at"
## [1747] "246647_at" "246648_at"
## [1749] "246649_at" "246650_at"
## [1751] "246651_at" "246652_at"
## [1753] "246653_at" "246654_s_at"
## [1755] "246655_at" "246656_at"
## [1757] "246657_at" "246658_at"
## [1759] "246659_at" "246660_at"
## [1761] "246661_at" "246662_at"
## [1763] "246663_at" "246664_at"
## [1765] "246665_s_at" "246666_at"
## [1767] "246667_at" "246668_at"
## [1769] "246669_at" "246670_at"
## [1771] "246671_at" "246672_at"
## [1773] "246673_at" "246674_at"
## [1775] "246675_at" "246676_at"
## [1777] "246677_at" "246678_at"
## [1779] "246679_at" "246680_at"
## [1781] "246681_at" "246682_at"
## [1783] "246683_at" "246684_at"
## [1785] "246685_at" "246686_at"
## [1787] "246687_at" "246688_at"
## [1789] "246689_at" "246690_at"
## [1791] "246691_at" "246692_at"
## [1793] "246693_at" "246694_at"
## [1795] "246695_at" "246696_at"
## [1797] "246697_at" "246698_at"
## [1799] "246699_at" "246700_at"
## [1801] "246701_at" "246702_at"
## [1803] "246703_at" "246704_at"
## [1805] "246705_x_at" "246706_at"
## [1807] "246707_at" "246708_at"
## [1809] "246709_s_at" "246710_at"
## [1811] "246711_at" "246712_at"
## [1813] "246713_at" "246714_at"
## [1815] "246715_at" "246716_s_at"
## [1817] "246717_at" "246718_at"
## [1819] "246719_at" "246720_at"
## [1821] "246721_at" "246722_at"
## [1823] "246723_at" "246724_at"
## [1825] "246725_at" "246726_at"
## [1827] "246727_at" "246728_at"
## [1829] "246729_at" "246730_at"
## [1831] "246731_at" "246732_at"
## [1833] "246733_at" "246734_at"
## [1835] "246735_at" "246736_at"
## [1837] "246737_at" "246738_at"
## [1839] "246739_at" "246740_at"
## [1841] "246741_at" "246742_at"
## [1843] "246743_at" "246744_at"
## [1845] "246745_at" "246746_at"
## [1847] "246747_at" "246748_at"
## [1849] "246749_at" "246750_at"
## [1851] "246751_at" "246752_at"
## [1853] "246753_at" "246754_at"
## [1855] "246755_at" "246756_at"
## [1857] "246757_at" "246758_at"
## [1859] "246759_at" "246760_at"
## [1861] "246761_at" "246762_at"
## [1863] "246763_at" "246764_s_at"
## [1865] "246765_at" "246766_at"
## [1867] "246767_at" "246768_at"
## [1869] "246769_at" "246770_at"
## [1871] "246771_at" "246772_at"
## [1873] "246773_at" "246774_at"
## [1875] "246775_at" "246776_at"
## [1877] "246777_at" "246778_at"
## [1879] "246779_at" "246780_at"
## [1881] "246781_at" "246782_at"
## [1883] "246783_at" "246784_at"
## [1885] "246785_at" "246786_at"
## [1887] "246787_s_at" "246788_at"
## [1889] "246789_at" "246790_at"
## [1891] "246791_at" "246792_at"
## [1893] "246793_at" "246794_s_at"
## [1895] "246795_at" "246796_at"
## [1897] "246797_at" "246798_at"
## [1899] "246799_at" "246800_at"
## [1901] "246801_at" "246802_at"
## [1903] "246803_at" "246804_at"
## [1905] "246805_at" "246806_at"
## [1907] "246807_at" "246808_at"
## [1909] "246809_s_at" "246810_at"
## [1911] "246811_at" "246812_at"
## [1913] "246813_at" "246814_at"
## [1915] "246815_at" "246816_at"
## [1917] "246817_at" "246818_at"
## [1919] "246819_at" "246820_at"
## [1921] "246821_at" "246822_at"
## [1923] "246823_at" "246824_at"
## [1925] "246825_at" "246826_at"
## [1927] "246827_at" "246828_at"
## [1929] "246829_at" "246830_at"
## [1931] "246831_at" "246832_at"
## [1933] "246833_at" "246834_at"
## [1935] "246835_at" "246836_s_at"
## [1937] "246837_at" "246838_at"
## [1939] "246839_at" "246840_at"
## [1941] "246841_at" "246842_at"
## [1943] "246843_at" "246844_at"
## [1945] "246845_at" "246846_at"
## [1947] "246847_at" "246848_at"
## [1949] "246849_at" "246850_at"
## [1951] "246851_at" "246852_at"
## [1953] "246853_at" "246854_at"
## [1955] "246855_at" "246856_at"
## [1957] "246857_at" "246858_at"
## [1959] "246859_at" "246860_at"
## [1961] "246861_at" "246862_at"
## [1963] "246863_at" "246864_at"
## [1965] "246865_s_at" "246866_at"
## [1967] "246867_at" "246868_at"
## [1969] "246869_at" "246870_at"
## [1971] "246871_at" "246872_at"
## [1973] "246873_at" "246874_at"
## [1975] "246875_at" "246876_at"
## [1977] "246877_at" "246878_at"
## [1979] "246879_at" "246880_s_at"
## [1981] "246881_at" "246882_at"
## [1983] "246883_at" "246884_at"
## [1985] "246885_at" "246886_at"
## [1987] "246887_at" "246888_at"
## [1989] "246889_at" "246890_at"
## [1991] "246891_at" "246892_at"
## [1993] "246893_at" "246894_at"
## [1995] "246895_at" "246896_at"
## [1997] "246897_at" "246898_at"
## [1999] "246899_at" "246900_at"
## [2001] "246901_at" "246902_at"
## [2003] "246903_at" "246904_at"
## [2005] "246905_at" "246906_at"
## [2007] "246907_at" "246908_at"
## [2009] "246909_at" "246910_at"
## [2011] "246911_at" "246912_at"
## [2013] "246913_at" "246914_at"
## [2015] "246915_at" "246916_at"
## [2017] "246917_at" "246918_at"
## [2019] "246919_at" "246920_at"
## [2021] "246921_at" "246922_at"
## [2023] "246923_at" "246924_at"
## [2025] "246925_at" "246926_at"
## [2027] "246927_s_at" "246928_at"
## [2029] "246929_at" "246930_at"
## [2031] "246931_at" "246932_at"
## [2033] "246933_at" "246934_at"
## [2035] "246935_at" "246936_at"
## [2037] "246937_at" "246938_at"
## [2039] "246939_at" "246940_at"
## [2041] "246941_at" "246942_at"
## [2043] "246943_at" "246944_at"
## [2045] "246945_s_at" "246946_at"
## [2047] "246947_at" "246948_at"
## [2049] "246949_at" "246950_at"
## [2051] "246951_at" "246952_at"
## [2053] "246953_at" "246954_at"
## [2055] "246955_at" "246956_at"
## [2057] "246957_at" "246958_at"
## [2059] "246959_at" "246960_at"
## [2061] "246961_at" "246962_s_at"
## [2063] "246963_at" "246964_at"
## [2065] "246965_at" "246966_at"
## [2067] "246967_at" "246968_at"
## [2069] "246969_at" "246970_at"
## [2071] "246971_at" "246972_s_at"
## [2073] "246973_at" "246974_at"
## [2075] "246975_at" "246976_s_at"
## [2077] "246977_at" "246978_at"
## [2079] "246979_s_at" "246980_at"
## [2081] "246981_at" "246982_s_at"
## [2083] "246983_at" "246984_at"
## [2085] "246985_at" "246986_at"
## [2087] "246987_at" "246988_at"
## [2089] "246989_at" "246990_at"
## [2091] "246991_at" "246992_at"
## [2093] "246993_at" "246994_at"
## [2095] "246995_at" "246996_at"
## [2097] "246997_at" "246998_at"
## [2099] "246999_at" "247000_at"
## [2101] "247001_at" "247002_at"
## [2103] "247003_at" "247004_at"
## [2105] "247005_at" "247006_at"
## [2107] "247007_at" "247008_at"
## [2109] "247009_at" "247010_at"
## [2111] "247011_at" "247012_at"
## [2113] "247013_at" "247014_at"
## [2115] "247015_at" "247016_at"
## [2117] "247017_at" "247018_at"
## [2119] "247019_at" "247020_at"
## [2121] "247021_at" "247022_at"
## [2123] "247023_at" "247024_at"
## [2125] "247025_at" "247026_at"
## [2127] "247027_at" "247028_at"
## [2129] "247029_at" "247030_at"
## [2131] "247031_at" "247032_at"
## [2133] "247033_at" "247034_at"
## [2135] "247035_at" "247036_at"
## [2137] "247037_at" "247038_at"
## [2139] "247039_at" "247040_at"
## [2141] "247041_at" "247042_at"
## [2143] "247043_at" "247044_at"
## [2145] "247045_at" "247046_at"
## [2147] "247047_at" "247048_at"
## [2149] "247049_at" "247050_at"
## [2151] "247051_at" "247052_at"
## [2153] "247053_at" "247054_at"
## [2155] "247055_at" "247056_at"
## [2157] "247057_at" "247058_at"
## [2159] "247059_at" "247060_at"
## [2161] "247061_at" "247062_at"
## [2163] "247063_at" "247064_at"
## [2165] "247065_s_at" "247066_at"
## [2167] "247067_at" "247068_at"
## [2169] "247069_at" "247070_at"
## [2171] "247071_at" "247072_at"
## [2173] "247073_at" "247074_at"
## [2175] "247075_at" "247076_at"
## [2177] "247077_at" "247078_at"
## [2179] "247079_at" "247080_at"
## [2181] "247081_at" "247082_at"
## [2183] "247083_at" "247084_at"
## [2185] "247085_at" "247086_at"
## [2187] "247087_at" "247088_at"
## [2189] "247089_at" "247090_at"
## [2191] "247091_at" "247092_at"
## [2193] "247093_at" "247094_at"
## [2195] "247095_at" "247096_at"
## [2197] "247097_at" "247098_at"
## [2199] "247099_at" "247100_at"
## [2201] "247101_at" "247102_at"
## [2203] "247103_at" "247104_at"
## [2205] "247105_at" "247106_at"
## [2207] "247107_at" "247108_at"
## [2209] "247109_at" "247110_at"
## [2211] "247111_at" "247112_at"
## [2213] "247113_at" "247114_at"
## [2215] "247115_at" "247116_at"
## [2217] "247117_at" "247118_at"
## [2219] "247119_at" "247120_at"
## [2221] "247121_at" "247122_at"
## [2223] "247123_at" "247124_at"
## [2225] "247125_at" "247126_at"
## [2227] "247127_at" "247128_at"
## [2229] "247129_at" "247130_at"
## [2231] "247131_at" "247132_at"
## [2233] "247133_at" "247134_at"
## [2235] "247135_at" "247136_at"
## [2237] "247137_at" "247138_at"
## [2239] "247139_at" "247140_at"
## [2241] "247141_at" "247142_at"
## [2243] "247143_at" "247144_at"
## [2245] "247145_at" "247146_at"
## [2247] "247147_at" "247148_at"
## [2249] "247149_at" "247150_at"
## [2251] "247151_at" "247152_at"
## [2253] "247153_at" "247154_at"
## [2255] "247155_at" "247156_at"
## [2257] "247157_at" "247158_at"
## [2259] "247159_at" "247160_at"
## [2261] "247161_at" "247162_at"
## [2263] "247163_at" "247164_at"
## [2265] "247165_at" "247166_at"
## [2267] "247167_at" "247168_at"
## [2269] "247169_at" "247170_at"
## [2271] "247171_at" "247172_at"
## [2273] "247173_at" "247174_at"
## [2275] "247175_at" "247176_at"
## [2277] "247177_at" "247178_at"
## [2279] "247179_at" "247180_at"
## [2281] "247181_at" "247182_at"
## [2283] "247183_at" "247184_at"
## [2285] "247185_at" "247186_at"
## [2287] "247187_at" "247188_at"
## [2289] "247189_at" "247190_at"
## [2291] "247191_at" "247192_at"
## [2293] "247193_at" "247194_at"
## [2295] "247195_at" "247196_at"
## [2297] "247197_at" "247198_at"
## [2299] "247199_at" "247200_at"
## [2301] "247201_at" "247202_at"
## [2303] "247203_at" "247204_at"
## [2305] "247205_at" "247206_at"
## [2307] "247207_at" "247208_at"
## [2309] "247209_at" "247210_at"
## [2311] "247211_at" "247212_at"
## [2313] "247213_at" "247214_at"
## [2315] "247215_at" "247216_at"
## [2317] "247217_s_at" "247218_at"
## [2319] "247219_at" "247220_at"
## [2321] "247221_at" "247222_at"
## [2323] "247223_at" "247224_at"
## [2325] "247225_at" "247226_at"
## [2327] "247227_at" "247228_at"
## [2329] "247229_at" "247230_at"
## [2331] "247231_at" "247232_at"
## [2333] "247233_at" "247234_at"
## [2335] "247235_at" "247236_at"
## [2337] "247237_at" "247238_at"
## [2339] "247239_at" "247240_at"
## [2341] "247241_at" "247242_at"
## [2343] "247243_at" "247244_at"
## [2345] "247245_at" "247246_at"
## [2347] "247247_at" "247248_at"
## [2349] "247249_at" "247250_at"
## [2351] "247251_at" "247252_at"
## [2353] "247253_at" "247254_at"
## [2355] "247255_at" "247256_at"
## [2357] "247257_at" "247258_at"
## [2359] "247259_at" "247260_at"
## [2361] "247261_at" "247262_at"
## [2363] "247263_at" "247264_at"
## [2365] "247265_at" "247266_at"
## [2367] "247267_at" "247268_at"
## [2369] "247269_at" "247270_at"
## [2371] "247271_at" "247272_at"
## [2373] "247273_at" "247274_at"
## [2375] "247275_at" "247276_at"
## [2377] "247277_at" "247278_at"
## [2379] "247279_at" "247280_at"
## [2381] "247281_at" "247282_at"
## [2383] "247283_at" "247284_at"
## [2385] "247285_at" "247286_at"
## [2387] "247287_at" "247288_at"
## [2389] "247289_at" "247290_at"
## [2391] "247291_at" "247292_at"
## [2393] "247293_at" "247294_at"
## [2395] "247295_at" "247296_at"
## [2397] "247297_at" "247298_at"
## [2399] "247299_at" "247300_at"
## [2401] "247301_at" "247302_at"
## [2403] "247303_at" "247304_at"
## [2405] "247305_at" "247306_at"
## [2407] "247307_at" "247308_at"
## [2409] "247309_at" "247310_at"
## [2411] "247311_at" "247312_at"
## [2413] "247313_at" "247314_at"
## [2415] "247315_at" "247316_at"
## [2417] "247317_at" "247318_at"
## [2419] "247319_at" "247320_at"
## [2421] "247321_s_at" "247322_at"
## [2423] "247323_at" "247324_at"
## [2425] "247325_at" "247326_at"
## [2427] "247327_at" "247328_at"
## [2429] "247329_at" "247330_at"
## [2431] "247331_at" "247332_at"
## [2433] "247333_at" "247334_at"
## [2435] "247335_at" "247336_at"
## [2437] "247337_at" "247338_at"
## [2439] "247339_at" "247340_at"
## [2441] "247341_at" "247342_at"
## [2443] "247343_at" "247344_at"
## [2445] "247345_at" "247346_at"
## [2447] "247347_at" "247348_at"
## [2449] "247349_at" "247350_at"
## [2451] "247351_at" "247352_at"
## [2453] "247353_at" "247354_at"
## [2455] "247355_at" "247356_at"
## [2457] "247357_at" "247358_at"
## [2459] "247359_at" "247360_at"
## [2461] "247361_at" "247362_at"
## [2463] "247363_at" "247364_at"
## [2465] "247365_at" "247366_at"
## [2467] "247367_at" "247368_at"
## [2469] "247369_at" "247370_at"
## [2471] "247371_at" "247372_at"
## [2473] "247373_at" "247374_at"
## [2475] "247375_at" "247376_at"
## [2477] "247377_at" "247378_at"
## [2479] "247379_at" "247380_at"
## [2481] "247381_at" "247382_at"
## [2483] "247383_at" "247384_at"
## [2485] "247385_at" "247386_at"
## [2487] "247387_at" "247388_s_at"
## [2489] "247389_at" "247390_at"
## [2491] "247391_at" "247392_at"
## [2493] "247393_at" "247394_at"
## [2495] "247395_at" "247396_at"
## [2497] "247397_at" "247398_at"
## [2499] "247399_at" "247400_at"
## [2501] "247401_at" "247402_at"
## [2503] "247403_at" "247404_at"
## [2505] "247405_at" "247406_at"
## [2507] "247407_at" "247408_at"
## [2509] "247409_at" "247410_at"
## [2511] "247411_at" "247412_at"
## [2513] "247413_at" "247414_at"
## [2515] "247415_at" "247416_at"
## [2517] "247417_at" "247418_at"
## [2519] "247419_at" "247420_at"
## [2521] "247421_at" "247422_at"
## [2523] "247423_at" "247424_at"
## [2525] "247425_at" "247426_at"
## [2527] "247427_at" "247428_at"
## [2529] "247429_at" "247430_at"
## [2531] "247431_at" "247432_at"
## [2533] "247433_at" "247434_at"
## [2535] "247435_at" "247436_at"
## [2537] "247437_at" "247438_at"
## [2539] "247439_at" "247440_at"
## [2541] "247441_at" "247442_s_at"
## [2543] "247443_at" "247444_at"
## [2545] "247445_at" "247446_at"
## [2547] "247447_at" "247448_at"
## [2549] "247449_at" "247450_at"
## [2551] "247451_at" "247452_at"
## [2553] "247453_at" "247454_at"
## [2555] "247455_at" "247456_at"
## [2557] "247457_at" "247458_at"
## [2559] "247459_at" "247460_at"
## [2561] "247461_at" "247462_at"
## [2563] "247463_at" "247464_at"
## [2565] "247465_at" "247466_at"
## [2567] "247467_at" "247468_at"
## [2569] "247469_at" "247470_at"
## [2571] "247471_at" "247472_at"
## [2573] "247473_at" "247474_at"
## [2575] "247475_at" "247476_at"
## [2577] "247477_at" "247478_at"
## [2579] "247479_at" "247480_at"
## [2581] "247481_at" "247482_at"
## [2583] "247483_at" "247484_at"
## [2585] "247485_at" "247486_at"
## [2587] "247487_at" "247488_at"
## [2589] "247489_at" "247490_at"
## [2591] "247491_at" "247492_at"
## [2593] "247493_at" "247494_at"
## [2595] "247495_at" "247496_at"
## [2597] "247497_at" "247498_at"
## [2599] "247499_at" "247500_at"
## [2601] "247501_at" "247502_at"
## [2603] "247503_at" "247504_at"
## [2605] "247505_at" "247506_at"
## [2607] "247507_at" "247508_at"
## [2609] "247509_at" "247510_at"
## [2611] "247511_at" "247512_at"
## [2613] "247513_at" "247514_at"
## [2615] "247515_at" "247516_at"
## [2617] "247517_at" "247518_at"
## [2619] "247519_at" "247520_at"
## [2621] "247521_at" "247522_at"
## [2623] "247523_at" "247524_at"
## [2625] "247525_at" "247526_at"
## [2627] "247527_at" "247528_at"
## [2629] "247529_at" "247530_at"
## [2631] "247531_at" "247532_at"
## [2633] "247533_at" "247534_at"
## [2635] "247535_at" "247536_at"
## [2637] "247537_s_at" "247538_at"
## [2639] "247539_at" "247540_at"
## [2641] "247541_at" "247542_at"
## [2643] "247543_at" "247544_at"
## [2645] "247545_at" "247546_at"
## [2647] "247547_at" "247548_at"
## [2649] "247549_at" "247550_at"
## [2651] "247551_at" "247552_at"
## [2653] "247553_at" "247554_at"
## [2655] "247555_at" "247556_at"
## [2657] "247557_at" "247558_at"
## [2659] "247559_at" "247560_at"
## [2661] "247561_at" "247562_at"
## [2663] "247563_at" "247564_at"
## [2665] "247565_at" "247566_at"
## [2667] "247567_at" "247568_at"
## [2669] "247569_at" "247570_at"
## [2671] "247571_at" "247572_at"
## [2673] "247573_at" "247574_at"
## [2675] "247575_at" "247576_at"
## [2677] "247577_at" "247578_at"
## [2679] "247579_at" "247580_at"
## [2681] "247581_at" "247582_at"
## [2683] "247583_at" "247584_at"
## [2685] "247585_at" "247586_at"
## [2687] "247587_at" "247588_at"
## [2689] "247589_at" "247590_at"
## [2691] "247591_at" "247592_at"
## [2693] "247593_at" "247594_at"
## [2695] "247595_at" "247596_at"
## [2697] "247597_at" "247598_at"
## [2699] "247599_at" "247600_at"
## [2701] "247601_at" "247602_at"
## [2703] "247603_at" "247604_at"
## [2705] "247605_at" "247606_at"
## [2707] "247607_at" "247608_at"
## [2709] "247609_at" "247610_at"
## [2711] "247611_at" "247612_at"
## [2713] "247613_at" "247614_at"
## [2715] "247615_at" "247616_at"
## [2717] "247617_at" "247618_at"
## [2719] "247619_at" "247620_at"
## [2721] "247621_at" "247622_at"
## [2723] "247623_at" "247624_at"
## [2725] "247625_at" "247626_at"
## [2727] "247627_at" "247628_at"
## [2729] "247629_at" "247630_at"
## [2731] "247631_at" "247632_at"
## [2733] "247633_at" "247634_at"
## [2735] "247635_at" "247636_at"
## [2737] "247637_at" "247638_at"
## [2739] "247639_s_at" "247640_at"
## [2741] "247641_at" "247642_at"
## [2743] "247643_at" "247644_s_at"
## [2745] "247645_at" "247646_at"
## [2747] "247647_at" "247648_at"
## [2749] "247649_at" "247650_at"
## [2751] "247651_at" "247652_at"
## [2753] "247653_at" "247654_at"
## [2755] "247655_at" "247656_at"
## [2757] "247657_at" "247658_at"
## [2759] "247659_at" "247660_at"
## [2761] "247661_at" "247662_at"
## [2763] "247663_at" "247664_at"
## [2765] "247665_at" "247666_at"
## [2767] "247667_at" "247668_at"
## [2769] "247669_at" "247670_at"
## [2771] "247671_at" "247672_at"
## [2773] "247673_at" "247674_at"
## [2775] "247675_at" "247676_at"
## [2777] "247677_at" "247678_at"
## [2779] "247679_at" "247680_s_at"
## [2781] "247681_at" "247682_at"
## [2783] "247683_at" "247684_at"
## [2785] "247685_at" "247686_at"
## [2787] "247687_at" "247688_at"
## [2789] "247689_at" "247690_at"
## [2791] "247691_at" "247692_s_at"
## [2793] "247693_at" "247694_at"
## [2795] "247695_at" "247696_at"
## [2797] "247697_at" "247698_at"
## [2799] "247699_at" "247700_at"
## [2801] "247701_at" "247702_at"
## [2803] "247703_at" "247704_at"
## [2805] "247705_at" "247706_at"
## [2807] "247707_at" "247708_at"
## [2809] "247709_at" "247710_at"
## [2811] "247711_at" "247712_at"
## [2813] "247713_at" "247714_at"
## [2815] "247715_at" "247716_at"
## [2817] "247717_at" "247718_at"
## [2819] "247719_at" "247720_at"
## [2821] "247721_at" "247722_at"
## [2823] "247723_at" "247724_at"
## [2825] "247725_at" "247726_at"
## [2827] "247727_at" "247728_at"
## [2829] "247729_at" "247730_at"
## [2831] "247731_at" "247732_at"
## [2833] "247733_at" "247734_at"
## [2835] "247735_at" "247736_at"
## [2837] "247737_at" "247738_at"
## [2839] "247739_at" "247740_at"
## [2841] "247741_at" "247742_at"
## [2843] "247743_at" "247744_at"
## [2845] "247745_at" "247746_at"
## [2847] "247747_at" "247748_at"
## [2849] "247749_at" "247750_at"
## [2851] "247751_at" "247752_at"
## [2853] "247753_at" "247754_at"
## [2855] "247755_at" "247756_at"
## [2857] "247757_at" "247758_at"
## [2859] "247759_at" "247760_at"
## [2861] "247761_at" "247762_at"
## [2863] "247763_at" "247764_at"
## [2865] "247765_at" "247766_at"
## [2867] "247767_at" "247768_at"
## [2869] "247769_at" "247770_at"
## [2871] "247771_at" "247772_at"
## [2873] "247773_at" "247774_at"
## [2875] "247775_at" "247776_at"
## [2877] "247777_at" "247778_at"
## [2879] "247779_at" "247780_at"
## [2881] "247781_at" "247782_at"
## [2883] "247783_at" "247784_at"
## [2885] "247785_at" "247786_at"
## [2887] "247787_at" "247788_at"
## [2889] "247789_at" "247790_at"
## [2891] "247791_at" "247792_at"
## [2893] "247793_at" "247794_at"
## [2895] "247795_at" "247796_at"
## [2897] "247797_at" "247798_at"
## [2899] "247799_at" "247800_at"
## [2901] "247801_at" "247802_at"
## [2903] "247803_at" "247804_at"
## [2905] "247805_at" "247806_at"
## [2907] "247807_at" "247808_at"
## [2909] "247809_at" "247810_at"
## [2911] "247811_at" "247812_at"
## [2913] "247813_at" "247814_at"
## [2915] "247815_at" "247816_at"
## [2917] "247817_at" "247818_at"
## [2919] "247819_at" "247820_at"
## [2921] "247821_at" "247822_at"
## [2923] "247823_at" "247824_at"
## [2925] "247825_at" "247826_at"
## [2927] "247827_at" "247828_at"
## [2929] "247829_at" "247830_at"
## [2931] "247831_at" "247832_at"
## [2933] "247833_at" "247834_at"
## [2935] "247835_at" "247836_at"
## [2937] "247837_at" "247838_at"
## [2939] "247839_at" "247840_at"
## [2941] "247841_at" "247842_at"
## [2943] "247843_at" "247844_at"
## [2945] "247845_at" "247846_at"
## [2947] "247847_at" "247848_at"
## [2949] "247849_at" "247850_at"
## [2951] "247851_at" "247852_at"
## [2953] "247853_at" "247854_at"
## [2955] "247855_at" "247856_at"
## [2957] "247857_at" "247858_at"
## [2959] "247859_at" "247860_at"
## [2961] "247861_at" "247862_at"
## [2963] "247863_at" "247864_s_at"
## [2965] "247865_at" "247866_at"
## [2967] "247867_at" "247868_at"
## [2969] "247869_at" "247870_at"
## [2971] "247871_at" "247872_at"
## [2973] "247873_at" "247874_at"
## [2975] "247875_at" "247876_at"
## [2977] "247877_at" "247878_at"
## [2979] "247879_at" "247880_at"
## [2981] "247881_at" "247882_at"
## [2983] "247883_at" "247884_at"
## [2985] "247885_at" "247886_at"
## [2987] "247887_at" "247888_at"
## [2989] "247889_at" "247890_at"
## [2991] "247891_at" "247892_at"
## [2993] "247893_at" "247894_at"
## [2995] "247895_at" "247896_at"
## [2997] "247897_at" "247898_at"
## [2999] "247899_at" "247900_at"
## [3001] "247901_at" "247902_at"
## [3003] "247903_at" "247904_at"
## [3005] "247905_at" "247906_at"
## [3007] "247907_at" "247908_at"
## [3009] "247909_at" "247910_at"
## [3011] "247911_at" "247912_at"
## [3013] "247913_at" "247914_at"
## [3015] "247915_at" "247916_at"
## [3017] "247917_at" "247918_at"
## [3019] "247919_at" "247920_at"
## [3021] "247921_at" "247922_at"
## [3023] "247923_at" "247924_at"
## [3025] "247925_at" "247926_at"
## [3027] "247927_at" "247928_at"
## [3029] "247929_at" "247930_at"
## [3031] "247931_at" "247932_at"
## [3033] "247933_at" "247934_at"
## [3035] "247935_at" "247936_at"
## [3037] "247937_at" "247938_at"
## [3039] "247939_at" "247940_at"
## [3041] "247941_at" "247942_at"
## [3043] "247943_at" "247944_at"
## [3045] "247945_at" "247946_at"
## [3047] "247947_at" "247948_at"
## [3049] "247949_at" "247950_at"
## [3051] "247951_at" "247952_at"
## [3053] "247953_at" "247954_at"
## [3055] "247955_at" "247956_at"
## [3057] "247957_at" "247958_at"
## [3059] "247959_at" "247960_at"
## [3061] "247961_at" "247962_at"
## [3063] "247963_at" "247964_at"
## [3065] "247965_at" "247966_at"
## [3067] "247967_at" "247968_at"
## [3069] "247969_at" "247970_at"
## [3071] "247971_at" "247972_at"
## [3073] "247973_at" "247974_at"
## [3075] "247975_at" "247976_at"
## [3077] "247977_at" "247978_at"
## [3079] "247979_at" "247980_at"
## [3081] "247981_at" "247982_at"
## [3083] "247983_at" "247984_s_at"
## [3085] "247985_at" "247986_at"
## [3087] "247987_at" "247988_at"
## [3089] "247989_at" "247990_at"
## [3091] "247991_at" "247992_at"
## [3093] "247993_at" "247994_at"
## [3095] "247995_at" "247996_at"
## [3097] "247997_at" "247998_at"
## [3099] "247999_at" "248000_at"
## [3101] "248001_at" "248002_at"
## [3103] "248003_at" "248004_at"
## [3105] "248005_at" "248006_at"
## [3107] "248007_at" "248008_at"
## [3109] "248009_at" "248010_at"
## [3111] "248011_at" "248012_at"
## [3113] "248013_at" "248014_at"
## [3115] "248015_at" "248016_at"
## [3117] "248017_at" "248018_at"
## [3119] "248019_at" "248020_at"
## [3121] "248021_at" "248022_at"
## [3123] "248023_at" "248024_at"
## [3125] "248025_at" "248026_at"
## [3127] "248027_at" "248028_at"
## [3129] "248029_at" "248030_at"
## [3131] "248031_at" "248032_at"
## [3133] "248033_s_at" "248034_at"
## [3135] "248035_at" "248036_at"
## [3137] "248037_at" "248038_at"
## [3139] "248039_at" "248040_at"
## [3141] "248041_at" "248042_at"
## [3143] "248043_s_at" "248044_at"
## [3145] "248045_at" "248046_at"
## [3147] "248047_at" "248048_at"
## [3149] "248049_at" "248050_at"
## [3151] "248051_at" "248052_at"
## [3153] "248053_at" "248054_at"
## [3155] "248055_at" "248056_at"
## [3157] "248057_at" "248058_at"
## [3159] "248059_at" "248060_at"
## [3161] "248061_at" "248062_at"
## [3163] "248063_at" "248064_at"
## [3165] "248065_at" "248066_at"
## [3167] "248067_at" "248068_at"
## [3169] "248069_at" "248070_at"
## [3171] "248071_at" "248072_at"
## [3173] "248073_at" "248074_at"
## [3175] "248075_at" "248076_at"
## [3177] "248077_at" "248078_at"
## [3179] "248079_at" "248080_at"
## [3181] "248081_at" "248082_at"
## [3183] "248083_at" "248084_at"
## [3185] "248085_at" "248086_at"
## [3187] "248087_at" "248088_at"
## [3189] "248089_at" "248090_at"
## [3191] "248091_at" "248092_at"
## [3193] "248093_at" "248094_at"
## [3195] "248095_at" "248096_at"
## [3197] "248097_at" "248098_at"
## [3199] "248099_at" "248100_at"
## [3201] "248101_at" "248102_at"
## [3203] "248103_at" "248104_at"
## [3205] "248105_at" "248106_at"
## [3207] "248107_at" "248108_at"
## [3209] "248109_at" "248110_at"
## [3211] "248111_at" "248112_at"
## [3213] "248113_at" "248114_at"
## [3215] "248115_at" "248116_at"
## [3217] "248117_at" "248118_at"
## [3219] "248119_at" "248120_at"
## [3221] "248121_at" "248122_at"
## [3223] "248123_at" "248124_at"
## [3225] "248125_at" "248126_at"
## [3227] "248127_at" "248128_at"
## [3229] "248129_at" "248130_at"
## [3231] "248131_at" "248132_at"
## [3233] "248133_at" "248134_at"
## [3235] "248135_at" "248136_at"
## [3237] "248137_at" "248138_at"
## [3239] "248139_at" "248140_at"
## [3241] "248141_at" "248142_at"
## [3243] "248143_at" "248144_at"
## [3245] "248145_at" "248146_at"
## [3247] "248147_at" "248148_at"
## [3249] "248149_at" "248150_at"
## [3251] "248151_at" "248152_at"
## [3253] "248153_at" "248154_at"
## [3255] "248155_at" "248156_at"
## [3257] "248157_at" "248158_at"
## [3259] "248159_at" "248160_at"
## [3261] "248161_at" "248162_at"
## [3263] "248163_at" "248164_at"
## [3265] "248165_at" "248166_at"
## [3267] "248167_at" "248168_at"
## [3269] "248169_at" "248170_at"
## [3271] "248171_at" "248172_at"
## [3273] "248173_at" "248174_at"
## [3275] "248175_at" "248176_at"
## [3277] "248177_at" "248178_at"
## [3279] "248179_at" "248180_at"
## [3281] "248181_at" "248182_at"
## [3283] "248183_at" "248184_at"
## [3285] "248185_at" "248186_at"
## [3287] "248187_at" "248188_at"
## [3289] "248189_at" "248190_at"
## [3291] "248191_at" "248192_at"
## [3293] "248193_at" "248194_at"
## [3295] "248195_at" "248196_at"
## [3297] "248197_at" "248198_at"
## [3299] "248199_at" "248200_at"
## [3301] "248201_at" "248202_at"
## [3303] "248203_at" "248204_at"
## [3305] "248205_at" "248206_at"
## [3307] "248207_at" "248208_at"
## [3309] "248209_at" "248210_at"
## [3311] "248211_at" "248212_at"
## [3313] "248213_at" "248214_at"
## [3315] "248215_at" "248216_at"
## [3317] "248217_at" "248218_at"
## [3319] "248219_at" "248220_at"
## [3321] "248221_at" "248222_at"
## [3323] "248223_at" "248224_at"
## [3325] "248225_at" "248226_at"
## [3327] "248227_at" "248228_at"
## [3329] "248229_at" "248230_at"
## [3331] "248231_at" "248232_at"
## [3333] "248233_at" "248234_at"
## [3335] "248235_at" "248236_at"
## [3337] "248237_at" "248238_at"
## [3339] "248239_at" "248240_at"
## [3341] "248241_at" "248242_at"
## [3343] "248243_at" "248244_at"
## [3345] "248245_at" "248246_at"
## [3347] "248247_at" "248248_at"
## [3349] "248249_at" "248250_at"
## [3351] "248251_at" "248252_at"
## [3353] "248253_at" "248254_at"
## [3355] "248255_at" "248256_at"
## [3357] "248257_at" "248258_at"
## [3359] "248259_at" "248260_at"
## [3361] "248261_at" "248262_at"
## [3363] "248263_at" "248264_at"
## [3365] "248265_at" "248266_at"
## [3367] "248267_at" "248268_at"
## [3369] "248269_at" "248270_at"
## [3371] "248271_at" "248272_at"
## [3373] "248273_at" "248274_at"
## [3375] "248275_at" "248276_at"
## [3377] "248277_at" "248278_at"
## [3379] "248279_at" "248280_at"
## [3381] "248281_at" "248282_at"
## [3383] "248283_at" "248284_at"
## [3385] "248285_at" "248286_at"
## [3387] "248287_at" "248288_at"
## [3389] "248289_at" "248290_at"
## [3391] "248291_at" "248292_at"
## [3393] "248293_at" "248294_at"
## [3395] "248295_at" "248296_at"
## [3397] "248297_at" "248298_at"
## [3399] "248299_at" "248300_at"
## [3401] "248301_at" "248302_at"
## [3403] "248303_at" "248304_at"
## [3405] "248305_at" "248306_at"
## [3407] "248307_at" "248308_at"
## [3409] "248309_at" "248310_at"
## [3411] "248311_at" "248312_at"
## [3413] "248313_at" "248314_at"
## [3415] "248315_at" "248316_at"
## [3417] "248317_at" "248318_at"
## [3419] "248319_at" "248320_at"
## [3421] "248321_at" "248322_at"
## [3423] "248323_at" "248324_at"
## [3425] "248325_at" "248326_at"
## [3427] "248327_at" "248328_at"
## [3429] "248329_at" "248330_at"
## [3431] "248331_at" "248332_at"
## [3433] "248333_at" "248334_s_at"
## [3435] "248335_at" "248336_at"
## [3437] "248337_at" "248338_at"
## [3439] "248339_at" "248340_at"
## [3441] "248341_at" "248342_at"
## [3443] "248343_at" "248344_at"
## [3445] "248345_at" "248346_at"
## [3447] "248347_at" "248348_at"
## [3449] "248349_at" "248350_at"
## [3451] "248351_at" "248352_at"
## [3453] "248353_at" "248354_at"
## [3455] "248355_at" "248356_at"
## [3457] "248357_at" "248358_at"
## [3459] "248359_at" "248360_at"
## [3461] "248361_at" "248362_at"
## [3463] "248363_at" "248364_at"
## [3465] "248365_at" "248366_at"
## [3467] "248367_at" "248368_at"
## [3469] "248369_at" "248370_at"
## [3471] "248371_at" "248372_at"
## [3473] "248373_at" "248374_at"
## [3475] "248375_at" "248376_at"
## [3477] "248377_at" "248378_at"
## [3479] "248379_at" "248380_at"
## [3481] "248381_at" "248382_at"
## [3483] "248383_at" "248384_at"
## [3485] "248385_at" "248386_at"
## [3487] "248387_at" "248388_at"
## [3489] "248389_at" "248390_at"
## [3491] "248391_at" "248392_at"
## [3493] "248393_at" "248394_at"
## [3495] "248395_at" "248396_at"
## [3497] "248397_at" "248398_at"
## [3499] "248399_at" "248400_at"
## [3501] "248401_at" "248402_at"
## [3503] "248403_at" "248404_at"
## [3505] "248405_at" "248406_at"
## [3507] "248407_at" "248408_at"
## [3509] "248409_at" "248410_at"
## [3511] "248411_at" "248412_at"
## [3513] "248413_at" "248414_at"
## [3515] "248415_at" "248416_at"
## [3517] "248417_at" "248418_at"
## [3519] "248419_at" "248420_at"
## [3521] "248421_at" "248422_at"
## [3523] "248423_at" "248424_at"
## [3525] "248425_at" "248426_at"
## [3527] "248427_at" "248428_at"
## [3529] "248429_at" "248430_at"
## [3531] "248431_at" "248432_at"
## [3533] "248433_at" "248434_at"
## [3535] "248435_at" "248436_at"
## [3537] "248437_at" "248438_at"
## [3539] "248439_at" "248440_at"
## [3541] "248441_at" "248442_at"
## [3543] "248443_at" "248444_at"
## [3545] "248445_at" "248446_at"
## [3547] "248447_at" "248448_at"
## [3549] "248449_at" "248450_at"
## [3551] "248451_at" "248452_at"
## [3553] "248453_at" "248454_at"
## [3555] "248455_at" "248456_at"
## [3557] "248457_at" "248458_at"
## [3559] "248459_at" "248460_at"
## [3561] "248461_s_at" "248462_at"
## [3563] "248463_at" "248464_at"
## [3565] "248465_at" "248466_at"
## [3567] "248467_at" "248468_at"
## [3569] "248469_at" "248470_at"
## [3571] "248471_at" "248472_at"
## [3573] "248473_at" "248474_at"
## [3575] "248475_at" "248476_at"
## [3577] "248477_at" "248478_at"
## [3579] "248479_at" "248480_at"
## [3581] "248481_at" "248482_at"
## [3583] "248483_at" "248484_at"
## [3585] "248485_at" "248486_at"
## [3587] "248487_at" "248488_at"
## [3589] "248489_at" "248490_at"
## [3591] "248491_at" "248492_at"
## [3593] "248493_at" "248494_at"
## [3595] "248495_at" "248496_at"
## [3597] "248497_at" "248498_at"
## [3599] "248499_at" "248500_at"
## [3601] "248501_at" "248502_at"
## [3603] "248503_at" "248504_at"
## [3605] "248505_at" "248506_at"
## [3607] "248507_at" "248508_at"
## [3609] "248509_at" "248510_at"
## [3611] "248511_at" "248512_at"
## [3613] "248513_at" "248514_s_at"
## [3615] "248515_at" "248516_at"
## [3617] "248517_at" "248518_at"
## [3619] "248519_at" "248520_at"
## [3621] "248521_s_at" "248522_at"
## [3623] "248523_s_at" "248524_s_at"
## [3625] "248525_s_at" "248526_at"
## [3627] "248527_at" "248528_at"
## [3629] "248529_at" "248530_at"
## [3631] "248531_at" "248532_at"
## [3633] "248533_at" "248534_at"
## [3635] "248535_at" "248536_at"
## [3637] "248537_at" "248538_at"
## [3639] "248539_at" "248540_at"
## [3641] "248541_at" "248542_at"
## [3643] "248543_at" "248544_at"
## [3645] "248545_at" "248546_at"
## [3647] "248547_at" "248548_at"
## [3649] "248549_at" "248550_at"
## [3651] "248551_at" "248552_at"
## [3653] "248553_at" "248554_at"
## [3655] "248555_at" "248556_at"
## [3657] "248557_at" "248558_at"
## [3659] "248559_at" "248560_at"
## [3661] "248561_at" "248562_at"
## [3663] "248563_at" "248564_at"
## [3665] "248565_at" "248566_s_at"
## [3667] "248567_at" "248568_at"
## [3669] "248569_at" "248570_at"
## [3671] "248571_at" "248572_at"
## [3673] "248573_at" "248574_at"
## [3675] "248575_at" "248576_at"
## [3677] "248577_at" "248578_at"
## [3679] "248579_at" "248580_at"
## [3681] "248581_at" "248582_at"
## [3683] "248583_at" "248584_at"
## [3685] "248585_at" "248586_at"
## [3687] "248587_at" "248588_at"
## [3689] "248589_at" "248590_at"
## [3691] "248591_at" "248592_at"
## [3693] "248593_at" "248594_at"
## [3695] "248595_at" "248596_at"
## [3697] "248597_at" "248598_at"
## [3699] "248599_at" "248600_at"
## [3701] "248601_at" "248602_s_at"
## [3703] "248603_at" "248604_at"
## [3705] "248605_at" "248606_at"
## [3707] "248607_at" "248608_at"
## [3709] "248609_at" "248610_at"
## [3711] "248611_at" "248612_at"
## [3713] "248613_at" "248614_at"
## [3715] "248615_at" "248616_at"
## [3717] "248617_at" "248618_at"
## [3719] "248619_at" "248620_at"
## [3721] "248621_at" "248622_at"
## [3723] "248623_at" "248624_at"
## [3725] "248625_at" "248626_at"
## [3727] "248627_at" "248628_at"
## [3729] "248629_at" "248630_at"
## [3731] "248631_at" "248632_at"
## [3733] "248633_at" "248634_at"
## [3735] "248635_at" "248636_at"
## [3737] "248637_at" "248638_at"
## [3739] "248639_at" "248640_at"
## [3741] "248641_at" "248642_at"
## [3743] "248643_at" "248644_at"
## [3745] "248645_at" "248646_at"
## [3747] "248647_at" "248648_at"
## [3749] "248649_at" "248650_at"
## [3751] "248651_at" "248652_at"
## [3753] "248653_at" "248654_at"
## [3755] "248655_at" "248656_at"
## [3757] "248657_at" "248658_at"
## [3759] "248659_at" "248660_at"
## [3761] "248661_at" "248662_at"
## [3763] "248663_at" "248664_at"
## [3765] "248665_at" "248666_at"
## [3767] "248667_at" "248668_at"
## [3769] "248669_at" "248670_at"
## [3771] "248671_at" "248672_at"
## [3773] "248673_at" "248674_at"
## [3775] "248675_at" "248676_at"
## [3777] "248677_at" "248678_at"
## [3779] "248679_at" "248680_at"
## [3781] "248681_at" "248682_at"
## [3783] "248683_at" "248684_at"
## [3785] "248685_at" "248686_at"
## [3787] "248687_at" "248688_at"
## [3789] "248689_at" "248690_at"
## [3791] "248691_at" "248692_s_at"
## [3793] "248693_at" "248694_at"
## [3795] "248695_at" "248696_at"
## [3797] "248697_at" "248698_at"
## [3799] "248699_at" "248700_at"
## [3801] "248701_at" "248702_at"
## [3803] "248703_at" "248704_at"
## [3805] "248705_at" "248706_at"
## [3807] "248707_at" "248708_at"
## [3809] "248709_at" "248710_at"
## [3811] "248711_at" "248712_at"
## [3813] "248713_at" "248714_at"
## [3815] "248715_at" "248716_at"
## [3817] "248717_at" "248718_at"
## [3819] "248719_at" "248720_at"
## [3821] "248721_at" "248722_at"
## [3823] "248723_at" "248724_at"
## [3825] "248725_at" "248726_at"
## [3827] "248727_at" "248728_at"
## [3829] "248729_at" "248730_at"
## [3831] "248731_at" "248732_at"
## [3833] "248733_at" "248734_at"
## [3835] "248735_at" "248736_at"
## [3837] "248737_at" "248738_at"
## [3839] "248739_at" "248740_at"
## [3841] "248741_at" "248742_at"
## [3843] "248743_at" "248744_at"
## [3845] "248745_at" "248746_at"
## [3847] "248747_at" "248748_at"
## [3849] "248749_at" "248750_at"
## [3851] "248751_at" "248752_at"
## [3853] "248753_at" "248754_at"
## [3855] "248755_at" "248756_at"
## [3857] "248757_at" "248758_at"
## [3859] "248759_at" "248760_at"
## [3861] "248761_at" "248762_at"
## [3863] "248763_at" "248764_at"
## [3865] "248765_at" "248766_at"
## [3867] "248767_at" "248768_at"
## [3869] "248769_at" "248770_at"
## [3871] "248771_at" "248772_at"
## [3873] "248773_at" "248774_at"
## [3875] "248775_at" "248776_at"
## [3877] "248777_at" "248778_at"
## [3879] "248779_at" "248780_at"
## [3881] "248781_at" "248782_at"
## [3883] "248783_at" "248784_at"
## [3885] "248785_at" "248786_at"
## [3887] "248787_at" "248788_at"
## [3889] "248789_at" "248790_at"
## [3891] "248791_at" "248792_at"
## [3893] "248793_at" "248794_at"
## [3895] "248795_at" "248796_at"
## [3897] "248797_at" "248798_at"
## [3899] "248799_at" "248800_at"
## [3901] "248801_at" "248802_at"
## [3903] "248803_at" "248804_at"
## [3905] "248805_at" "248806_at"
## [3907] "248807_at" "248808_at"
## [3909] "248809_at" "248810_at"
## [3911] "248811_at" "248812_at"
## [3913] "248813_at" "248814_at"
## [3915] "248815_at" "248816_at"
## [3917] "248817_at" "248818_at"
## [3919] "248819_at" "248820_at"
## [3921] "248821_at" "248822_at"
## [3923] "248823_s_at" "248824_at"
## [3925] "248825_at" "248826_at"
## [3927] "248827_at" "248828_at"
## [3929] "248829_at" "248830_at"
## [3931] "248831_at" "248832_at"
## [3933] "248833_at" "248834_at"
## [3935] "248835_at" "248836_at"
## [3937] "248837_at" "248838_at"
## [3939] "248839_at" "248840_at"
## [3941] "248841_at" "248842_at"
## [3943] "248843_at" "248844_s_at"
## [3945] "248845_at" "248846_at"
## [3947] "248847_at" "248848_at"
## [3949] "248849_at" "248850_at"
## [3951] "248851_s_at" "248852_at"
## [3953] "248853_at" "248854_at"
## [3955] "248855_at" "248856_at"
## [3957] "248857_at" "248858_at"
## [3959] "248859_at" "248860_at"
## [3961] "248861_at" "248862_at"
## [3963] "248863_at" "248864_at"
## [3965] "248865_at" "248866_s_at"
## [3967] "248867_at" "248868_at"
## [3969] "248869_at" "248870_at"
## [3971] "248871_at" "248872_at"
## [3973] "248873_at" "248874_at"
## [3975] "248875_at" "248876_at"
## [3977] "248877_at" "248878_at"
## [3979] "248879_at" "248880_at"
## [3981] "248881_at" "248882_at"
## [3983] "248883_at" "248884_at"
## [3985] "248885_at" "248886_at"
## [3987] "248887_at" "248888_at"
## [3989] "248889_at" "248890_at"
## [3991] "248891_at" "248892_at"
## [3993] "248893_at" "248894_at"
## [3995] "248895_at" "248896_at"
## [3997] "248897_at" "248898_at"
## [3999] "248899_at" "248900_at"
## [4001] "248901_at" "248902_at"
## [4003] "248903_at" "248904_at"
## [4005] "248905_at" "248906_at"
## [4007] "248907_at" "248908_at"
## [4009] "248909_at" "248910_at"
## [4011] "248911_at" "248912_at"
## [4013] "248913_at" "248914_at"
## [4015] "248915_at" "248916_at"
## [4017] "248917_at" "248918_at"
## [4019] "248919_at" "248920_at"
## [4021] "248921_at" "248922_at"
## [4023] "248923_at" "248924_at"
## [4025] "248925_at" "248926_at"
## [4027] "248927_at" "248928_at"
## [4029] "248929_at" "248930_at"
## [4031] "248931_at" "248932_at"
## [4033] "248933_at" "248934_at"
## [4035] "248935_at" "248936_at"
## [4037] "248937_at" "248938_at"
## [4039] "248939_at" "248940_at"
## [4041] "248941_s_at" "248942_at"
## [4043] "248943_s_at" "248944_at"
## [4045] "248945_at" "248946_at"
## [4047] "248947_at" "248948_at"
## [4049] "248949_at" "248950_at"
## [4051] "248951_at" "248952_at"
## [4053] "248953_at" "248954_at"
## [4055] "248955_at" "248956_at"
## [4057] "248957_at" "248958_at"
## [4059] "248959_at" "248960_at"
## [4061] "248961_at" "248962_at"
## [4063] "248963_at" "248964_at"
## [4065] "248965_at" "248966_at"
## [4067] "248967_at" "248968_at"
## [4069] "248969_at" "248970_at"
## [4071] "248971_at" "248972_at"
## [4073] "248973_at" "248974_at"
## [4075] "248975_at" "248976_at"
## [4077] "248977_at" "248978_at"
## [4079] "248979_at" "248980_at"
## [4081] "248981_at" "248982_at"
## [4083] "248983_at" "248984_at"
## [4085] "248985_at" "248986_at"
## [4087] "248987_at" "248988_at"
## [4089] "248989_at" "248990_at"
## [4091] "248991_at" "248992_at"
## [4093] "248993_at" "248994_at"
## [4095] "248995_at" "248996_at"
## [4097] "248997_at" "248998_at"
## [4099] "248999_at" "249000_at"
## [4101] "249001_at" "249002_at"
## [4103] "249003_at" "249004_at"
## [4105] "249005_at" "249006_at"
## [4107] "249007_at" "249008_at"
## [4109] "249009_at" "249010_at"
## [4111] "249011_at" "249012_at"
## [4113] "249013_at" "249014_at"
## [4115] "249015_at" "249016_at"
## [4117] "249017_at" "249018_at"
## [4119] "249019_at" "249020_at"
## [4121] "249021_at" "249022_s_at"
## [4123] "249023_at" "249024_at"
## [4125] "249025_at" "249026_at"
## [4127] "249027_at" "249028_at"
## [4129] "249029_at" "249030_at"
## [4131] "249031_at" "249032_at"
## [4133] "249033_at" "249034_at"
## [4135] "249035_at" "249036_at"
## [4137] "249037_at" "249038_at"
## [4139] "249039_at" "249040_at"
## [4141] "249041_at" "249042_at"
## [4143] "249043_at" "249044_at"
## [4145] "249045_at" "249046_at"
## [4147] "249047_at" "249048_at"
## [4149] "249049_at" "249050_at"
## [4151] "249051_at" "249052_at"
## [4153] "249053_at" "249054_at"
## [4155] "249055_at" "249056_at"
## [4157] "249057_at" "249058_at"
## [4159] "249059_at" "249060_at"
## [4161] "249061_at" "249062_at"
## [4163] "249063_at" "249064_at"
## [4165] "249065_at" "249066_at"
## [4167] "249067_at" "249068_at"
## [4169] "249069_at" "249070_at"
## [4171] "249071_at" "249072_at"
## [4173] "249073_at" "249074_at"
## [4175] "249075_at" "249076_at"
## [4177] "249077_at" "249078_at"
## [4179] "249079_at" "249080_at"
## [4181] "249081_at" "249082_at"
## [4183] "249083_at" "249084_at"
## [4185] "249085_at" "249086_at"
## [4187] "249087_at" "249088_at"
## [4189] "249089_at" "249090_at"
## [4191] "249091_at" "249092_at"
## [4193] "249093_at" "249094_at"
## [4195] "249095_at" "249096_at"
## [4197] "249097_at" "249098_at"
## [4199] "249099_at" "249100_at"
## [4201] "249101_at" "249102_at"
## [4203] "249103_at" "249104_at"
## [4205] "249105_at" "249106_at"
## [4207] "249107_at" "249108_at"
## [4209] "249109_at" "249110_at"
## [4211] "249111_at" "249112_at"
## [4213] "249113_at" "249114_at"
## [4215] "249115_at" "249116_at"
## [4217] "249117_at" "249118_at"
## [4219] "249119_at" "249120_at"
## [4221] "249121_at" "249122_at"
## [4223] "249123_at" "249124_at"
## [4225] "249125_at" "249126_at"
## [4227] "249127_at" "249128_at"
## [4229] "249129_at" "249130_at"
## [4231] "249131_at" "249132_at"
## [4233] "249133_at" "249134_at"
## [4235] "249135_at" "249136_at"
## [4237] "249137_at" "249138_at"
## [4239] "249139_at" "249140_at"
## [4241] "249141_at" "249142_at"
## [4243] "249143_at" "249144_at"
## [4245] "249145_at" "249146_at"
## [4247] "249147_at" "249148_at"
## [4249] "249149_at" "249150_at"
## [4251] "249151_at" "249152_s_at"
## [4253] "249153_s_at" "249154_at"
## [4255] "249155_at" "249156_s_at"
## [4257] "249157_at" "249158_at"
## [4259] "249159_at" "249160_at"
## [4261] "249161_at" "249162_at"
## [4263] "249163_at" "249164_at"
## [4265] "249165_at" "249166_at"
## [4267] "249167_at" "249168_at"
## [4269] "249169_at" "249170_at"
## [4271] "249171_at" "249172_at"
## [4273] "249173_at" "249174_at"
## [4275] "249175_at" "249176_at"
## [4277] "249177_at" "249178_at"
## [4279] "249179_at" "249180_at"
## [4281] "249181_at" "249182_at"
## [4283] "249183_at" "249184_at"
## [4285] "249185_at" "249186_at"
## [4287] "249187_at" "249188_at"
## [4289] "249189_at" "249190_at"
## [4291] "249191_at" "249192_at"
## [4293] "249193_at" "249194_at"
## [4295] "249195_s_at" "249196_at"
## [4297] "249197_at" "249198_s_at"
## [4299] "249199_at" "249200_at"
## [4301] "249201_at" "249202_at"
## [4303] "249203_at" "249204_at"
## [4305] "249205_at" "249206_at"
## [4307] "249207_at" "249208_at"
## [4309] "249209_at" "249210_at"
## [4311] "249211_at" "249212_at"
## [4313] "249213_at" "249214_at"
## [4315] "249215_at" "249216_at"
## [4317] "249217_at" "249218_at"
## [4319] "249219_at" "249220_at"
## [4321] "249221_at" "249222_at"
## [4323] "249223_at" "249224_at"
## [4325] "249225_at" "249226_at"
## [4327] "249227_at" "249228_at"
## [4329] "249229_at" "249230_at"
## [4331] "249231_at" "249232_at"
## [4333] "249233_at" "249234_at"
## [4335] "249235_at" "249236_at"
## [4337] "249237_at" "249238_at"
## [4339] "249239_at" "249240_at"
## [4341] "249241_at" "249242_at"
## [4343] "249243_s_at" "249244_at"
## [4345] "249245_at" "249246_at"
## [4347] "249247_at" "249248_at"
## [4349] "249249_at" "249250_at"
## [4351] "249251_at" "249252_at"
## [4353] "249253_at" "249254_at"
## [4355] "249255_at" "249256_at"
## [4357] "249257_at" "249258_at"
## [4359] "249259_at" "249260_at"
## [4361] "249261_at" "249262_at"
## [4363] "249263_at" "249264_s_at"
## [4365] "249265_at" "249266_at"
## [4367] "249267_at" "249268_at"
## [4369] "249269_at" "249270_at"
## [4371] "249271_at" "249272_at"
## [4373] "249273_at" "249274_at"
## [4375] "249275_at" "249276_at"
## [4377] "249277_at" "249278_at"
## [4379] "249279_at" "249280_at"
## [4381] "249281_at" "249282_at"
## [4383] "249283_at" "249284_at"
## [4385] "249285_at" "249286_at"
## [4387] "249287_at" "249288_at"
## [4389] "249289_at" "249290_at"
## [4391] "249291_at" "249292_at"
## [4393] "249293_at" "249294_at"
## [4395] "249295_at" "249296_at"
## [4397] "249297_at" "249298_at"
## [4399] "249299_at" "249300_at"
## [4401] "249301_at" "249302_at"
## [4403] "249303_at" "249304_at"
## [4405] "249305_at" "249306_at"
## [4407] "249307_s_at" "249308_at"
## [4409] "249309_at" "249310_at"
## [4411] "249311_at" "249312_at"
## [4413] "249313_at" "249314_at"
## [4415] "249315_at" "249316_s_at"
## [4417] "249317_at" "249318_at"
## [4419] "249319_s_at" "249320_at"
## [4421] "249321_at" "249322_at"
## [4423] "249323_at" "249324_at"
## [4425] "249325_at" "249326_at"
## [4427] "249327_at" "249328_at"
## [4429] "249329_at" "249330_at"
## [4431] "249331_at" "249332_at"
## [4433] "249333_at" "249334_at"
## [4435] "249335_at" "249336_at"
## [4437] "249337_at" "249338_at"
## [4439] "249339_at" "249340_at"
## [4441] "249341_at" "249342_at"
## [4443] "249343_at" "249344_at"
## [4445] "249345_at" "249346_at"
## [4447] "249347_at" "249348_at"
## [4449] "249349_at" "249350_at"
## [4451] "249351_at" "249352_at"
## [4453] "249353_at" "249354_at"
## [4455] "249355_at" "249356_at"
## [4457] "249357_at" "249358_at"
## [4459] "249359_at" "249360_at"
## [4461] "249361_at" "249362_at"
## [4463] "249363_at" "249364_at"
## [4465] "249365_at" "249366_at"
## [4467] "249367_at" "249368_at"
## [4469] "249369_at" "249370_at"
## [4471] "249371_at" "249372_at"
## [4473] "249373_at" "249374_at"
## [4475] "249375_at" "249376_at"
## [4477] "249377_at" "249378_at"
## [4479] "249379_at" "249380_at"
## [4481] "249381_at" "249382_at"
## [4483] "249383_at" "249384_at"
## [4485] "249385_at" "249386_at"
## [4487] "249387_at" "249388_at"
## [4489] "249389_at" "249390_at"
## [4491] "249391_at" "249392_at"
## [4493] "249393_at" "249394_at"
## [4495] "249395_at" "249396_at"
## [4497] "249397_at" "249398_at"
## [4499] "249399_at" "249400_at"
## [4501] "249401_at" "249402_at"
## [4503] "249403_at" "249404_at"
## [4505] "249405_at" "249406_at"
## [4507] "249407_at" "249408_at"
## [4509] "249409_at" "249410_at"
## [4511] "249411_at" "249412_at"
## [4513] "249413_at" "249414_at"
## [4515] "249415_at" "249416_at"
## [4517] "249417_at" "249418_at"
## [4519] "249419_s_at" "249420_at"
## [4521] "249421_at" "249422_at"
## [4523] "249423_at" "249424_s_at"
## [4525] "249425_at" "249426_at"
## [4527] "249427_at" "249428_at"
## [4529] "249429_at" "249430_at"
## [4531] "249431_at" "249432_at"
## [4533] "249433_at" "249434_at"
## [4535] "249435_at" "249436_at"
## [4537] "249437_at" "249438_at"
## [4539] "249439_at" "249440_at"
## [4541] "249441_at" "249442_at"
## [4543] "249443_at" "249444_at"
## [4545] "249445_at" "249446_at"
## [4547] "249447_at" "249448_at"
## [4549] "249449_at" "249450_at"
## [4551] "249451_s_at" "249452_at"
## [4553] "249453_at" "249454_at"
## [4555] "249455_s_at" "249456_at"
## [4557] "249457_s_at" "249458_at"
## [4559] "249459_at" "249460_at"
## [4561] "249461_at" "249462_at"
## [4563] "249463_s_at" "249464_at"
## [4565] "249465_at" "249466_at"
## [4567] "249467_at" "249468_at"
## [4569] "249469_at" "249470_at"
## [4571] "249471_at" "249472_at"
## [4573] "249473_at" "249474_s_at"
## [4575] "249475_at" "249476_at"
## [4577] "249477_s_at" "249478_at"
## [4579] "249479_at" "249480_s_at"
## [4581] "249481_at" "249482_at"
## [4583] "249483_at" "249484_at"
## [4585] "249485_at" "249486_at"
## [4587] "249487_at" "249488_at"
## [4589] "249489_at" "249490_s_at"
## [4591] "249491_at" "249492_at"
## [4593] "249493_at" "249494_at"
## [4595] "249495_at" "249496_s_at"
## [4597] "249497_at" "249498_at"
## [4599] "249499_at" "249500_at"
## [4601] "249501_s_at" "249502_s_at"
## [4603] "249503_at" "249504_at"
## [4605] "249505_at" "249506_at"
## [4607] "249507_at" "249508_at"
## [4609] "249509_at" "249510_at"
## [4611] "249511_at" "249512_at"
## [4613] "249513_at" "249514_at"
## [4615] "249515_at" "249516_s_at"
## [4617] "249517_at" "249518_at"
## [4619] "249519_at" "249520_at"
## [4621] "249521_at" "249522_at"
## [4623] "249523_at" "249524_at"
## [4625] "249525_at" "249526_at"
## [4627] "249527_at" "249528_at"
## [4629] "249529_at" "249530_at"
## [4631] "249531_at" "249532_at"
## [4633] "249533_at" "249534_at"
## [4635] "249535_at" "249536_at"
## [4637] "249537_at" "249538_at"
## [4639] "249539_at" "249540_at"
## [4641] "249541_at" "249542_at"
## [4643] "249543_at" "249544_at"
## [4645] "249545_at" "249546_at"
## [4647] "249547_at" "249548_at"
## [4649] "249549_at" "249550_at"
## [4651] "249551_at" "249552_s_at"
## [4653] "249553_at" "249554_at"
## [4655] "249555_at" "249556_at"
## [4657] "249557_at" "249558_at"
## [4659] "249559_at" "249560_at"
## [4661] "249561_at" "249562_at"
## [4663] "249563_at" "249564_at"
## [4665] "249565_at" "249566_at"
## [4667] "249567_at" "249568_at"
## [4669] "249569_at" "249570_at"
## [4671] "249571_at" "249572_at"
## [4673] "249573_at" "249574_at"
## [4675] "249575_at" "249576_at"
## [4677] "249577_at" "249578_at"
## [4679] "249579_at" "249580_at"
## [4681] "249581_at" "249582_at"
## [4683] "249583_at" "249584_s_at"
## [4685] "249585_at" "249586_at"
## [4687] "249587_at" "249588_at"
## [4689] "249589_at" "249590_at"
## [4691] "249591_at" "249592_at"
## [4693] "249593_at" "249594_at"
## [4695] "249595_at" "249596_s_at"
## [4697] "249597_at" "249598_at"
## [4699] "249599_at" "249600_s_at"
## [4701] "249601_at" "249602_at"
## [4703] "249603_at" "249604_x_at"
## [4705] "249605_at" "249606_at"
## [4707] "249607_at" "249608_at"
## [4709] "249609_at" "249610_at"
## [4711] "249611_at" "249612_at"
## [4713] "249613_at" "249614_at"
## [4715] "249615_x_at" "249616_s_at"
## [4717] "249617_at" "249618_at"
## [4719] "249619_at" "249620_at"
## [4721] "249621_at" "249622_at"
## [4723] "249623_at" "249624_at"
## [4725] "249625_at" "249626_at"
## [4727] "249627_at" "249628_at"
## [4729] "249629_at" "249630_s_at"
## [4731] "249631_at" "249632_at"
## [4733] "249633_at" "249634_at"
## [4735] "249635_at" "249636_at"
## [4737] "249637_at" "249638_at"
## [4739] "249639_at" "249640_at"
## [4741] "249641_at" "249642_at"
## [4743] "249643_at" "249644_at"
## [4745] "249645_at" "249646_at"
## [4747] "249647_at" "249648_at"
## [4749] "249649_at" "249650_at"
## [4751] "249651_at" "249652_at"
## [4753] "249653_at" "249654_at"
## [4755] "249655_at" "249656_at"
## [4757] "249657_at" "249658_s_at"
## [4759] "249659_s_at" "249660_at"
## [4761] "249661_x_at" "249662_s_at"
## [4763] "249663_s_at" "249664_at"
## [4765] "249665_at" "249666_at"
## [4767] "249667_at" "249668_at"
## [4769] "249669_at" "249670_at"
## [4771] "249671_at" "249672_at"
## [4773] "249673_at" "249674_at"
## [4775] "249675_at" "249676_at"
## [4777] "249677_at" "249678_at"
## [4779] "249679_at" "249680_s_at"
## [4781] "249681_s_at" "249682_at"
## [4783] "249683_x_at" "249684_s_at"
## [4785] "249685_at" "249686_at"
## [4787] "249687_at" "249688_at"
## [4789] "249689_at" "249690_at"
## [4791] "249691_at" "249692_s_at"
## [4793] "249693_at" "249694_at"
## [4795] "249695_at" "249696_at"
## [4797] "249697_at" "249698_at"
## [4799] "249699_at" "249700_at"
## [4801] "249701_at" "249702_at"
## [4803] "249703_at" "249704_at"
## [4805] "249705_at" "249706_at"
## [4807] "249707_at" "249708_at"
## [4809] "249709_at" "249710_at"
## [4811] "249711_at" "249712_at"
## [4813] "249713_at" "249714_at"
## [4815] "249715_at" "249716_at"
## [4817] "249717_at" "249718_at"
## [4819] "249719_at" "249720_at"
## [4821] "249721_at" "249722_at"
## [4823] "249723_at" "249724_at"
## [4825] "249725_at" "249726_at"
## [4827] "249727_at" "249728_at"
## [4829] "249729_at" "249730_at"
## [4831] "249731_at" "249732_at"
## [4833] "249733_at" "249734_at"
## [4835] "249735_at" "249736_at"
## [4837] "249737_at" "249738_at"
## [4839] "249739_at" "249740_at"
## [4841] "249741_at" "249742_at"
## [4843] "249743_at" "249744_at"
## [4845] "249745_at" "249746_at"
## [4847] "249747_at" "249748_at"
## [4849] "249749_at" "249750_at"
## [4851] "249751_at" "249752_at"
## [4853] "249753_at" "249754_at"
## [4855] "249755_at" "249756_at"
## [4857] "249757_at" "249758_at"
## [4859] "249759_at" "249760_at"
## [4861] "249761_at" "249762_at"
## [4863] "249763_at" "249764_at"
## [4865] "249765_at" "249766_at"
## [4867] "249767_at" "249768_at"
## [4869] "249769_at" "249770_at"
## [4871] "249771_at" "249772_at"
## [4873] "249773_at" "249774_at"
## [4875] "249775_at" "249776_at"
## [4877] "249777_at" "249778_at"
## [4879] "249779_at" "249780_at"
## [4881] "249781_at" "249782_at"
## [4883] "249783_at" "249784_at"
## [4885] "249785_at" "249786_at"
## [4887] "249787_at" "249788_at"
## [4889] "249789_at" "249790_at"
## [4891] "249791_at" "249792_at"
## [4893] "249793_at" "249794_at"
## [4895] "249795_at" "249796_at"
## [4897] "249797_at" "249798_at"
## [4899] "249799_at" "249800_at"
## [4901] "249801_at" "249802_at"
## [4903] "249803_at" "249804_at"
## [4905] "249805_at" "249806_at"
## [4907] "249807_at" "249808_at"
## [4909] "249809_at" "249810_at"
## [4911] "249811_at" "249812_at"
## [4913] "249813_at" "249814_at"
## [4915] "249815_at" "249816_at"
## [4917] "249817_at" "249818_at"
## [4919] "249819_at" "249820_at"
## [4921] "249821_at" "249822_at"
## [4923] "249823_s_at" "249824_at"
## [4925] "249825_at" "249826_at"
## [4927] "249827_at" "249828_at"
## [4929] "249829_at" "249830_at"
## [4931] "249831_at" "249832_at"
## [4933] "249833_at" "249834_at"
## [4935] "249835_s_at" "249836_at"
## [4937] "249837_at" "249838_at"
## [4939] "249839_at" "249840_at"
## [4941] "249841_at" "249842_at"
## [4943] "249843_at" "249844_at"
## [4945] "249845_at" "249846_at"
## [4947] "249847_at" "249848_at"
## [4949] "249849_at" "249850_at"
## [4951] "249851_at" "249852_at"
## [4953] "249853_at" "249854_at"
## [4955] "249855_at" "249856_at"
## [4957] "249857_at" "249858_at"
## [4959] "249859_at" "249860_at"
## [4961] "249861_at" "249862_at"
## [4963] "249863_at" "249864_at"
## [4965] "249865_at" "249866_at"
## [4967] "249867_at" "249868_at"
## [4969] "249869_at" "249870_at"
## [4971] "249871_at" "249872_at"
## [4973] "249873_at" "249874_at"
## [4975] "249875_at" "249876_at"
## [4977] "249877_at" "249878_at"
## [4979] "249879_at" "249880_at"
## [4981] "249881_at" "249882_at"
## [4983] "249883_at" "249884_at"
## [4985] "249885_at" "249886_at"
## [4987] "249887_at" "249888_s_at"
## [4989] "249889_at" "249890_at"
## [4991] "249891_at" "249892_at"
## [4993] "249893_at" "249894_at"
## [4995] "249895_at" "249896_at"
## [4997] "249897_at" "249898_at"
## [4999] "249899_at" "249900_at"
## [5001] "249901_at" "249902_at"
## [5003] "249903_at" "249904_at"
## [5005] "249905_at" "249906_at"
## [5007] "249907_at" "249908_at"
## [5009] "249909_s_at" "249910_at"
## [5011] "249911_at" "249912_at"
## [5013] "249913_at" "249914_at"
## [5015] "249915_at" "249916_at"
## [5017] "249917_at" "249918_at"
## [5019] "249919_at" "249920_at"
## [5021] "249921_at" "249922_at"
## [5023] "249923_at" "249924_at"
## [5025] "249925_at" "249926_at"
## [5027] "249927_at" "249928_at"
## [5029] "249929_at" "249930_at"
## [5031] "249931_at" "249932_at"
## [5033] "249933_at" "249934_at"
## [5035] "249935_at" "249936_at"
## [5037] "249937_at" "249938_at"
## [5039] "249939_at" "249940_at"
## [5041] "249941_at" "249942_at"
## [5043] "249943_at" "249944_at"
## [5045] "249945_at" "249946_at"
## [5047] "249947_at" "249948_at"
## [5049] "249949_at" "249950_at"
## [5051] "249951_at" "249952_at"
## [5053] "249953_at" "249954_at"
## [5055] "249955_at" "249956_at"
## [5057] "249957_at" "249958_at"
## [5059] "249959_at" "249960_at"
## [5061] "249961_at" "249962_at"
## [5063] "249963_at" "249964_at"
## [5065] "249965_at" "249966_at"
## [5067] "249967_at" "249968_at"
## [5069] "249969_at" "249970_at"
## [5071] "249971_at" "249972_at"
## [5073] "249973_at" "249974_at"
## [5075] "249975_s_at" "249976_at"
## [5077] "249977_at" "249978_at"
## [5079] "249979_s_at" "249980_at"
## [5081] "249981_at" "249982_at"
## [5083] "249983_at" "249984_at"
## [5085] "249985_at" "249986_at"
## [5087] "249987_at" "249988_at"
## [5089] "249989_at" "249990_at"
## [5091] "249991_at" "249992_at"
## [5093] "249993_at" "249994_at"
## [5095] "249995_at" "249996_at"
## [5097] "249997_at" "249998_at"
## [5099] "249999_at" "250000_at"
## [5101] "250001_at" "250002_at"
## [5103] "250003_at" "250004_at"
## [5105] "250005_at" "250006_at"
## [5107] "250007_at" "250008_at"
## [5109] "250009_at" "250010_at"
## [5111] "250011_at" "250012_x_at"
## [5113] "250013_at" "250014_at"
## [5115] "250015_at" "250016_at"
## [5117] "250017_at" "250018_at"
## [5119] "250019_at" "250020_at"
## [5121] "250021_at" "250022_at"
## [5123] "250023_at" "250024_at"
## [5125] "250025_at" "250026_at"
## [5127] "250027_at" "250028_at"
## [5129] "250029_at" "250030_at"
## [5131] "250031_at" "250032_at"
## [5133] "250033_at" "250034_at"
## [5135] "250035_at" "250036_at"
## [5137] "250037_at" "250038_at"
## [5139] "250039_at" "250040_at"
## [5141] "250041_at" "250042_at"
## [5143] "250043_at" "250044_at"
## [5145] "250045_at" "250046_at"
## [5147] "250047_at" "250048_s_at"
## [5149] "250049_at" "250050_at"
## [5151] "250051_at" "250052_at"
## [5153] "250053_at" "250054_at"
## [5155] "250055_at" "250056_at"
## [5157] "250057_at" "250058_at"
## [5159] "250059_at" "250060_at"
## [5161] "250061_at" "250062_at"
## [5163] "250063_at" "250064_at"
## [5165] "250065_at" "250066_at"
## [5167] "250067_at" "250068_at"
## [5169] "250069_at" "250070_at"
## [5171] "250071_at" "250072_at"
## [5173] "250073_at" "250074_at"
## [5175] "250075_at" "250076_at"
## [5177] "250077_at" "250078_at"
## [5179] "250079_at" "250080_at"
## [5181] "250081_at" "250082_at"
## [5183] "250083_at" "250084_at"
## [5185] "250085_at" "250086_at"
## [5187] "250087_at" "250088_at"
## [5189] "250089_at" "250090_at"
## [5191] "250091_at" "250092_at"
## [5193] "250093_at" "250094_at"
## [5195] "250095_at" "250096_at"
## [5197] "250097_at" "250098_at"
## [5199] "250099_at" "250100_at"
## [5201] "250101_at" "250102_at"
## [5203] "250103_at" "250104_at"
## [5205] "250105_at" "250106_at"
## [5207] "250107_at" "250108_at"
## [5209] "250109_at" "250110_at"
## [5211] "250111_at" "250112_at"
## [5213] "250113_at" "250114_s_at"
## [5215] "250115_at" "250116_at"
## [5217] "250117_at" "250118_at"
## [5219] "250119_at" "250120_at"
## [5221] "250121_at" "250122_at"
## [5223] "250123_at" "250124_at"
## [5225] "250125_at" "250126_at"
## [5227] "250127_at" "250128_at"
## [5229] "250129_at" "250130_at"
## [5231] "250131_at" "250132_at"
## [5233] "250133_at" "250134_at"
## [5235] "250135_at" "250136_at"
## [5237] "250137_at" "250138_at"
## [5239] "250139_at" "250140_at"
## [5241] "250141_at" "250142_at"
## [5243] "250143_at" "250144_at"
## [5245] "250145_at" "250146_at"
## [5247] "250147_at" "250148_at"
## [5249] "250149_at" "250150_at"
## [5251] "250151_at" "250152_at"
## [5253] "250153_at" "250154_at"
## [5255] "250155_at" "250156_at"
## [5257] "250157_at" "250158_at"
## [5259] "250159_at" "250160_at"
## [5261] "250161_at" "250162_at"
## [5263] "250163_at" "250164_at"
## [5265] "250165_at" "250166_at"
## [5267] "250167_at" "250168_at"
## [5269] "250169_at" "250170_at"
## [5271] "250171_at" "250172_at"
## [5273] "250173_at" "250174_at"
## [5275] "250175_at" "250176_at"
## [5277] "250177_at" "250178_at"
## [5279] "250179_at" "250180_at"
## [5281] "250181_at" "250182_at"
## [5283] "250183_at" "250184_at"
## [5285] "250185_at" "250186_at"
## [5287] "250187_at" "250188_at"
## [5289] "250189_at" "250190_at"
## [5291] "250191_at" "250192_at"
## [5293] "250193_at" "250194_at"
## [5295] "250195_at" "250196_at"
## [5297] "250197_at" "250198_at"
## [5299] "250199_at" "250200_at"
## [5301] "250201_at" "250202_at"
## [5303] "250203_at" "250204_at"
## [5305] "250205_at" "250206_at"
## [5307] "250207_at" "250208_at"
## [5309] "250209_at" "250210_at"
## [5311] "250211_at" "250212_at"
## [5313] "250213_at" "250214_at"
## [5315] "250215_at" "250216_at"
## [5317] "250217_at" "250218_at"
## [5319] "250219_at" "250220_at"
## [5321] "250221_at" "250222_at"
## [5323] "250223_at" "250224_at"
## [5325] "250225_at" "250226_at"
## [5327] "250227_at" "250228_at"
## [5329] "250229_at" "250230_at"
## [5331] "250231_at" "250232_at"
## [5333] "250233_at" "250234_at"
## [5335] "250235_s_at" "250236_at"
## [5337] "250237_at" "250238_at"
## [5339] "250239_at" "250240_at"
## [5341] "250241_at" "250242_at"
## [5343] "250243_at" "250244_at"
## [5345] "250245_at" "250246_at"
## [5347] "250247_at" "250248_at"
## [5349] "250249_at" "250250_at"
## [5351] "250251_at" "250252_at"
## [5353] "250253_at" "250254_at"
## [5355] "250255_at" "250256_at"
## [5357] "250257_at" "250258_at"
## [5359] "250259_at" "250260_at"
## [5361] "250261_at" "250262_at"
## [5363] "250263_at" "250264_at"
## [5365] "250265_at" "250266_at"
## [5367] "250267_at" "250268_s_at"
## [5369] "250269_at" "250270_at"
## [5371] "250271_at" "250272_at"
## [5373] "250273_at" "250274_at"
## [5375] "250275_at" "250276_at"
## [5377] "250277_at" "250278_at"
## [5379] "250279_at" "250280_at"
## [5381] "250281_at" "250282_at"
## [5383] "250283_at" "250284_at"
## [5385] "250285_at" "250286_at"
## [5387] "250287_at" "250288_at"
## [5389] "250289_at" "250290_at"
## [5391] "250291_at" "250292_at"
## [5393] "250293_s_at" "250294_at"
## [5395] "250295_at" "250296_at"
## [5397] "250297_at" "250298_at"
## [5399] "250299_at" "250300_at"
## [5401] "250301_at" "250302_at"
## [5403] "250303_at" "250304_at"
## [5405] "250305_at" "250306_at"
## [5407] "250307_at" "250308_at"
## [5409] "250309_at" "250310_at"
## [5411] "250311_at" "250312_at"
## [5413] "250313_at" "250314_at"
## [5415] "250315_at" "250316_at"
## [5417] "250317_at" "250318_at"
## [5419] "250319_at" "250320_at"
## [5421] "250321_at" "250322_at"
## [5423] "250323_at" "250324_at"
## [5425] "250325_s_at" "250326_at"
## [5427] "250327_at" "250328_at"
## [5429] "250329_at" "250330_at"
## [5431] "250331_at" "250332_at"
## [5433] "250333_at" "250334_at"
## [5435] "250335_at" "250336_at"
## [5437] "250337_at" "250338_at"
## [5439] "250339_at" "250340_at"
## [5441] "250341_at" "250342_at"
## [5443] "250343_at" "250344_at"
## [5445] "250345_at" "250346_at"
## [5447] "250347_at" "250348_at"
## [5449] "250349_at" "250350_at"
## [5451] "250351_at" "250352_at"
## [5453] "250353_at" "250354_at"
## [5455] "250355_at" "250356_at"
## [5457] "250357_at" "250358_at"
## [5459] "250359_at" "250360_at"
## [5461] "250361_at" "250362_at"
## [5463] "250363_at" "250364_at"
## [5465] "250365_at" "250366_at"
## [5467] "250367_s_at" "250368_at"
## [5469] "250369_at" "250370_at"
## [5471] "250371_at" "250372_at"
## [5473] "250373_at" "250374_at"
## [5475] "250375_at" "250376_at"
## [5477] "250377_at" "250378_at"
## [5479] "250379_at" "250380_at"
## [5481] "250381_at" "250382_at"
## [5483] "250383_at" "250384_at"
## [5485] "250385_at" "250386_at"
## [5487] "250387_at" "250388_at"
## [5489] "250389_at" "250390_at"
## [5491] "250391_at" "250392_at"
## [5493] "250393_at" "250394_at"
## [5495] "250395_at" "250396_at"
## [5497] "250397_at" "250398_at"
## [5499] "250399_at" "250400_at"
## [5501] "250401_at" "250402_at"
## [5503] "250403_at" "250404_at"
## [5505] "250405_at" "250406_at"
## [5507] "250407_at" "250408_at"
## [5509] "250409_at" "250410_at"
## [5511] "250411_at" "250412_at"
## [5513] "250413_at" "250414_at"
## [5515] "250415_at" "250416_at"
## [5517] "250417_at" "250418_at"
## [5519] "250419_at" "250420_at"
## [5521] "250421_at" "250422_at"
## [5523] "250423_s_at" "250424_at"
## [5525] "250425_at" "250426_at"
## [5527] "250427_at" "250428_at"
## [5529] "250429_at" "250430_at"
## [5531] "250431_at" "250432_at"
## [5533] "250433_at" "250434_at"
## [5535] "250435_at" "250436_at"
## [5537] "250437_at" "250438_at"
## [5539] "250439_at" "250440_at"
## [5541] "250441_at" "250442_at"
## [5543] "250443_at" "250444_at"
## [5545] "250445_at" "250446_at"
## [5547] "250447_at" "250448_at"
## [5549] "250449_at" "250450_at"
## [5551] "250451_at" "250452_at"
## [5553] "250453_at" "250454_at"
## [5555] "250455_at" "250456_at"
## [5557] "250457_at" "250458_s_at"
## [5559] "250459_at" "250460_at"
## [5561] "250461_at" "250462_at"
## [5563] "250463_at" "250464_at"
## [5565] "250465_at" "250466_at"
## [5567] "250467_at" "250468_at"
## [5569] "250469_at" "250470_at"
## [5571] "250471_at" "250472_at"
## [5573] "250473_at" "250474_at"
## [5575] "250475_at" "250476_at"
## [5577] "250477_at" "250478_at"
## [5579] "250479_at" "250480_at"
## [5581] "250481_at" "250482_at"
## [5583] "250483_at" "250484_at"
## [5585] "250485_at" "250486_at"
## [5587] "250487_at" "250488_at"
## [5589] "250489_s_at" "250490_at"
## [5591] "250491_at" "250492_at"
## [5593] "250493_at" "250494_at"
## [5595] "250495_at" "250496_at"
## [5597] "250497_at" "250498_at"
## [5599] "250499_at" "250500_at"
## [5601] "250501_at" "250502_at"
## [5603] "250503_at" "250504_at"
## [5605] "250505_at" "250506_at"
## [5607] "250507_at" "250508_at"
## [5609] "250509_at" "250510_at"
## [5611] "250511_at" "250512_at"
## [5613] "250513_at" "250514_at"
## [5615] "250515_at" "250516_at"
## [5617] "250517_at" "250518_at"
## [5619] "250519_at" "250520_at"
## [5621] "250521_at" "250522_at"
## [5623] "250523_at" "250524_at"
## [5625] "250525_at" "250526_at"
## [5627] "250527_at" "250528_at"
## [5629] "250529_at" "250530_at"
## [5631] "250531_at" "250532_at"
## [5633] "250533_at" "250534_at"
## [5635] "250535_at" "250536_at"
## [5637] "250537_at" "250538_at"
## [5639] "250539_at" "250540_at"
## [5641] "250541_at" "250542_at"
## [5643] "250543_at" "250544_at"
## [5645] "250545_at" "250546_at"
## [5647] "250547_at" "250548_at"
## [5649] "250549_at" "250550_at"
## [5651] "250551_at" "250552_at"
## [5653] "250553_at" "250554_at"
## [5655] "250555_at" "250556_at"
## [5657] "250557_at" "250558_at"
## [5659] "250559_at" "250560_at"
## [5661] "250561_at" "250562_at"
## [5663] "250563_at" "250564_at"
## [5665] "250565_at" "250566_at"
## [5667] "250567_at" "250568_at"
## [5669] "250569_at" "250570_at"
## [5671] "250571_at" "250572_at"
## [5673] "250573_at" "250574_at"
## [5675] "250575_at" "250576_at"
## [5677] "250577_at" "250578_at"
## [5679] "250579_at" "250580_at"
## [5681] "250581_at" "250582_at"
## [5683] "250583_at" "250584_at"
## [5685] "250585_at" "250586_at"
## [5687] "250587_at" "250588_at"
## [5689] "250589_at" "250590_at"
## [5691] "250591_at" "250592_at"
## [5693] "250593_at" "250594_at"
## [5695] "250595_at" "250596_at"
## [5697] "250597_at" "250598_at"
## [5699] "250599_at" "250600_at"
## [5701] "250601_at" "250602_s_at"
## [5703] "250603_at" "250604_at"
## [5705] "250605_at" "250606_s_at"
## [5707] "250607_at" "250608_at"
## [5709] "250609_at" "250610_at"
## [5711] "250611_at" "250612_s_at"
## [5713] "250613_at" "250614_at"
## [5715] "250615_at" "250616_at"
## [5717] "250617_at" "250618_at"
## [5719] "250619_at" "250620_at"
## [5721] "250621_at" "250622_at"
## [5723] "250623_at" "250624_at"
## [5725] "250625_at" "250626_at"
## [5727] "250627_at" "250628_at"
## [5729] "250629_at" "250630_at"
## [5731] "250631_at" "250632_at"
## [5733] "250633_at" "250634_at"
## [5735] "250635_at" "250636_at"
## [5737] "250637_at" "250638_at"
## [5739] "250639_at" "250640_at"
## [5741] "250641_at" "250642_at"
## [5743] "250643_at" "250644_at"
## [5745] "250645_at" "250646_at"
## [5747] "250647_at" "250648_at"
## [5749] "250649_at" "250650_at"
## [5751] "250651_at" "250652_at"
## [5753] "250653_at" "250654_at"
## [5755] "250655_at" "250656_at"
## [5757] "250657_at" "250658_at"
## [5759] "250659_at" "250660_at"
## [5761] "250661_at" "250662_at"
## [5763] "250663_at" "250664_at"
## [5765] "250665_at" "250666_at"
## [5767] "250667_at" "250668_at"
## [5769] "250669_at" "250670_at"
## [5771] "250671_at" "250672_at"
## [5773] "250673_at" "250674_at"
## [5775] "250675_at" "250676_at"
## [5777] "250677_at" "250678_at"
## [5779] "250679_at" "250680_at"
## [5781] "250681_at" "250682_x_at"
## [5783] "250683_x_at" "250684_at"
## [5785] "250685_at" "250686_at"
## [5787] "250687_at" "250688_at"
## [5789] "250689_at" "250690_at"
## [5791] "250691_at" "250692_at"
## [5793] "250693_at" "250694_at"
## [5795] "250695_at" "250696_at"
## [5797] "250697_at" "250698_at"
## [5799] "250699_at" "250700_at"
## [5801] "250701_at" "250702_at"
## [5803] "250703_at" "250704_at"
## [5805] "250705_at" "250706_at"
## [5807] "250707_at" "250708_at"
## [5809] "250709_at" "250710_at"
## [5811] "250711_at" "250712_at"
## [5813] "250713_at" "250714_at"
## [5815] "250715_at" "250716_at"
## [5817] "250717_at" "250718_at"
## [5819] "250719_at" "250720_at"
## [5821] "250721_at" "250722_at"
## [5823] "250723_at" "250724_at"
## [5825] "250725_at" "250726_at"
## [5827] "250727_at" "250728_at"
## [5829] "250729_at" "250730_at"
## [5831] "250731_at" "250732_at"
## [5833] "250733_at" "250734_at"
## [5835] "250735_at" "250736_s_at"
## [5837] "250737_at" "250738_at"
## [5839] "250739_at" "250740_at"
## [5841] "250741_at" "250742_at"
## [5843] "250743_at" "250744_at"
## [5845] "250745_at" "250746_at"
## [5847] "250747_at" "250748_at"
## [5849] "250749_at" "250750_at"
## [5851] "250751_at" "250752_at"
## [5853] "250753_at" "250754_at"
## [5855] "250755_at" "250756_at"
## [5857] "250757_at" "250758_at"
## [5859] "250759_at" "250760_at"
## [5861] "250761_at" "250762_at"
## [5863] "250763_at" "250764_at"
## [5865] "250765_at" "250766_at"
## [5867] "250767_at" "250768_at"
## [5869] "250769_at" "250770_at"
## [5871] "250771_at" "250772_at"
## [5873] "250773_at" "250774_at"
## [5875] "250775_at" "250776_at"
## [5877] "250777_at" "250778_at"
## [5879] "250779_at" "250780_at"
## [5881] "250781_at" "250782_at"
## [5883] "250783_at" "250784_at"
## [5885] "250785_at" "250786_at"
## [5887] "250787_at" "250788_at"
## [5889] "250789_at" "250790_at"
## [5891] "250791_at" "250792_at"
## [5893] "250793_at" "250794_at"
## [5895] "250795_at" "250796_at"
## [5897] "250797_at" "250798_at"
## [5899] "250799_at" "250800_at"
## [5901] "250801_at" "250802_at"
## [5903] "250803_at" "250804_at"
## [5905] "250805_at" "250806_at"
## [5907] "250807_at" "250808_at"
## [5909] "250809_at" "250810_at"
## [5911] "250811_at" "250812_at"
## [5913] "250813_at" "250814_at"
## [5915] "250815_s_at" "250816_at"
## [5917] "250817_at" "250818_at"
## [5919] "250819_at" "250820_at"
## [5921] "250821_at" "250822_at"
## [5923] "250823_at" "250824_at"
## [5925] "250825_at" "250826_at"
## [5927] "250827_at" "250828_at"
## [5929] "250829_at" "250830_at"
## [5931] "250831_at" "250832_at"
## [5933] "250833_at" "250834_at"
## [5935] "250835_at" "250836_at"
## [5937] "250837_at" "250838_at"
## [5939] "250839_at" "250840_at"
## [5941] "250841_at" "250842_at"
## [5943] "250843_at" "250844_at"
## [5945] "250845_at" "250846_at"
## [5947] "250847_at" "250848_at"
## [5949] "250849_at" "250850_at"
## [5951] "250851_at" "250852_at"
## [5953] "250853_s_at" "250854_at"
## [5955] "250855_at" "250856_at"
## [5957] "250857_at" "250858_at"
## [5959] "250859_at" "250860_at"
## [5961] "250861_at" "250862_s_at"
## [5963] "250863_at" "250864_at"
## [5965] "250865_at" "250866_at"
## [5967] "250867_at" "250868_at"
## [5969] "250869_at" "250870_at"
## [5971] "250871_at" "250872_at"
## [5973] "250873_at" "250874_at"
## [5975] "250875_at" "250876_at"
## [5977] "250877_at" "250878_at"
## [5979] "250879_at" "250880_at"
## [5981] "250881_at" "250882_at"
## [5983] "250883_at" "250884_at"
## [5985] "250885_at" "250886_at"
## [5987] "250887_at" "250888_at"
## [5989] "250889_at" "250890_at"
## [5991] "250891_at" "250892_at"
## [5993] "250893_at" "250894_s_at"
## [5995] "250895_at" "250896_at"
## [5997] "250897_at" "250898_at"
## [5999] "250899_at" "250900_at"
## [6001] "250901_at" "250902_at"
## [6003] "250903_at" "250904_at"
## [6005] "250905_at" "250906_at"
## [6007] "250907_at" "250908_at"
## [6009] "250909_at" "250910_at"
## [6011] "250911_at" "250912_at"
## [6013] "250913_at" "250914_at"
## [6015] "250915_at" "250916_at"
## [6017] "250917_at" "250918_at"
## [6019] "250919_at" "250920_at"
## [6021] "250921_at" "250922_at"
## [6023] "250923_at" "250924_at"
## [6025] "250925_at" "250926_at"
## [6027] "250927_at" "250928_at"
## [6029] "250929_at" "250930_at"
## [6031] "250931_at" "250932_s_at"
## [6033] "250933_at" "250934_at"
## [6035] "250935_at" "250936_at"
## [6037] "250937_at" "250938_at"
## [6039] "250939_at" "250940_at"
## [6041] "250941_at" "250942_at"
## [6043] "250943_at" "250944_at"
## [6045] "250945_at" "250946_at"
## [6047] "250947_at" "250948_at"
## [6049] "250949_at" "250950_at"
## [6051] "250951_at" "250952_at"
## [6053] "250953_at" "250954_at"
## [6055] "250955_at" "250956_at"
## [6057] "250957_at" "250958_at"
## [6059] "250959_at" "250960_at"
## [6061] "250961_at" "250962_at"
## [6063] "250963_at" "250964_at"
## [6065] "250965_at" "250966_at"
## [6067] "250967_at" "250968_at"
## [6069] "250969_at" "250970_at"
## [6071] "250971_at" "250972_at"
## [6073] "250973_at" "250974_at"
## [6075] "250975_at" "250976_at"
## [6077] "250977_at" "250978_at"
## [6079] "250979_at" "250980_at"
## [6081] "250981_at" "250982_at"
## [6083] "250983_at" "250984_at"
## [6085] "250985_at" "250986_at"
## [6087] "250987_at" "250988_at"
## [6089] "250989_at" "250990_at"
## [6091] "250991_at" "250992_at"
## [6093] "250993_at" "250994_at"
## [6095] "250995_at" "250996_at"
## [6097] "250997_at" "250998_at"
## [6099] "250999_at" "251000_at"
## [6101] "251001_at" "251002_at"
## [6103] "251003_at" "251004_at"
## [6105] "251005_at" "251006_at"
## [6107] "251007_at" "251008_at"
## [6109] "251009_at" "251010_at"
## [6111] "251011_at" "251012_at"
## [6113] "251013_at" "251014_at"
## [6115] "251015_at" "251016_at"
## [6117] "251017_at" "251018_at"
## [6119] "251019_at" "251020_at"
## [6121] "251021_at" "251022_at"
## [6123] "251023_at" "251024_at"
## [6125] "251025_at" "251026_at"
## [6127] "251027_at" "251028_at"
## [6129] "251029_at" "251030_at"
## [6131] "251031_at" "251032_at"
## [6133] "251033_at" "251034_at"
## [6135] "251035_at" "251036_at"
## [6137] "251037_at" "251038_at"
## [6139] "251039_at" "251040_at"
## [6141] "251041_at" "251042_at"
## [6143] "251043_s_at" "251044_at"
## [6145] "251045_s_at" "251046_at"
## [6147] "251047_at" "251048_at"
## [6149] "251049_at" "251050_at"
## [6151] "251051_at" "251052_at"
## [6153] "251053_at" "251054_at"
## [6155] "251055_at" "251056_at"
## [6157] "251057_at" "251058_at"
## [6159] "251059_at" "251060_at"
## [6161] "251061_at" "251062_at"
## [6163] "251063_at" "251064_at"
## [6165] "251065_at" "251066_at"
## [6167] "251067_at" "251068_at"
## [6169] "251069_at" "251070_at"
## [6171] "251071_at" "251072_at"
## [6173] "251073_at" "251074_at"
## [6175] "251075_at" "251076_at"
## [6177] "251077_at" "251078_at"
## [6179] "251079_at" "251080_at"
## [6181] "251081_at" "251082_at"
## [6183] "251083_at" "251084_at"
## [6185] "251085_at" "251086_at"
## [6187] "251087_at" "251088_at"
## [6189] "251089_at" "251090_at"
## [6191] "251091_at" "251092_at"
## [6193] "251093_at" "251094_at"
## [6195] "251095_at" "251096_at"
## [6197] "251097_at" "251098_at"
## [6199] "251099_at" "251100_at"
## [6201] "251101_at" "251102_at"
## [6203] "251103_at" "251104_at"
## [6205] "251105_at" "251106_at"
## [6207] "251107_at" "251108_at"
## [6209] "251109_at" "251110_at"
## [6211] "251111_at" "251112_s_at"
## [6213] "251113_at" "251114_at"
## [6215] "251115_at" "251116_at"
## [6217] "251117_at" "251118_at"
## [6219] "251119_at" "251120_at"
## [6221] "251121_at" "251122_at"
## [6223] "251123_at" "251124_s_at"
## [6225] "251125_at" "251126_at"
## [6227] "251127_at" "251128_at"
## [6229] "251129_at" "251130_at"
## [6231] "251131_at" "251132_at"
## [6233] "251133_at" "251134_at"
## [6235] "251135_at" "251136_at"
## [6237] "251137_at" "251138_at"
## [6239] "251139_at" "251140_at"
## [6241] "251141_at" "251142_at"
## [6243] "251143_at" "251144_at"
## [6245] "251145_at" "251146_at"
## [6247] "251147_at" "251148_at"
## [6249] "251149_at" "251150_at"
## [6251] "251151_at" "251152_at"
## [6253] "251153_at" "251154_at"
## [6255] "251155_at" "251156_at"
## [6257] "251157_at" "251158_at"
## [6259] "251159_at" "251160_at"
## [6261] "251161_at" "251162_at"
## [6263] "251163_at" "251164_s_at"
## [6265] "251165_at" "251166_at"
## [6267] "251167_at" "251168_at"
## [6269] "251169_at" "251170_at"
## [6271] "251171_at" "251172_at"
## [6273] "251173_at" "251174_at"
## [6275] "251175_at" "251176_at"
## [6277] "251177_at" "251178_at"
## [6279] "251179_at" "251180_at"
## [6281] "251181_at" "251182_at"
## [6283] "251183_at" "251184_at"
## [6285] "251185_at" "251186_at"
## [6287] "251187_at" "251188_at"
## [6289] "251189_at" "251190_at"
## [6291] "251191_at" "251192_at"
## [6293] "251193_at" "251194_at"
## [6295] "251195_at" "251196_at"
## [6297] "251197_at" "251198_at"
## [6299] "251199_at" "251200_at"
## [6301] "251201_at" "251202_at"
## [6303] "251203_at" "251204_at"
## [6305] "251205_at" "251206_at"
## [6307] "251207_at" "251208_at"
## [6309] "251209_at" "251210_at"
## [6311] "251211_s_at" "251212_at"
## [6313] "251213_at" "251214_at"
## [6315] "251215_at" "251216_at"
## [6317] "251217_at" "251218_at"
## [6319] "251219_at" "251220_at"
## [6321] "251221_at" "251222_at"
## [6323] "251223_at" "251224_at"
## [6325] "251225_at" "251226_at"
## [6327] "251227_at" "251228_at"
## [6329] "251229_at" "251230_at"
## [6331] "251231_at" "251232_at"
## [6333] "251233_at" "251234_s_at"
## [6335] "251235_at" "251236_at"
## [6337] "251237_at" "251238_at"
## [6339] "251239_at" "251240_at"
## [6341] "251241_s_at" "251242_at"
## [6343] "251243_at" "251244_at"
## [6345] "251245_at" "251246_at"
## [6347] "251247_at" "251248_at"
## [6349] "251249_at" "251250_at"
## [6351] "251251_at" "251252_at"
## [6353] "251253_at" "251254_at"
## [6355] "251255_at" "251256_at"
## [6357] "251257_at" "251258_at"
## [6359] "251259_at" "251260_at"
## [6361] "251261_at" "251262_at"
## [6363] "251263_at" "251264_at"
## [6365] "251265_at" "251266_at"
## [6367] "251267_at" "251268_at"
## [6369] "251269_at" "251270_at"
## [6371] "251271_at" "251272_at"
## [6373] "251273_at" "251274_at"
## [6375] "251275_at" "251276_at"
## [6377] "251277_at" "251278_at"
## [6379] "251279_at" "251280_at"
## [6381] "251281_at" "251282_at"
## [6383] "251283_at" "251284_at"
## [6385] "251285_at" "251286_at"
## [6387] "251287_at" "251288_at"
## [6389] "251289_at" "251290_at"
## [6391] "251291_at" "251292_at"
## [6393] "251293_at" "251294_at"
## [6395] "251295_at" "251296_at"
## [6397] "251297_at" "251298_at"
## [6399] "251299_at" "251300_at"
## [6401] "251301_at" "251302_at"
## [6403] "251303_at" "251304_at"
## [6405] "251305_at" "251306_at"
## [6407] "251307_at" "251308_at"
## [6409] "251309_at" "251310_at"
## [6411] "251311_at" "251312_at"
## [6413] "251313_at" "251314_at"
## [6415] "251315_at" "251316_s_at"
## [6417] "251317_at" "251318_at"
## [6419] "251319_at" "251320_at"
## [6421] "251321_at" "251322_at"
## [6423] "251323_at" "251324_at"
## [6425] "251325_s_at" "251326_at"
## [6427] "251327_at" "251328_at"
## [6429] "251329_at" "251330_at"
## [6431] "251331_s_at" "251332_at"
## [6433] "251333_at" "251334_at"
## [6435] "251335_at" "251336_at"
## [6437] "251337_at" "251338_at"
## [6439] "251339_at" "251340_at"
## [6441] "251341_at" "251342_at"
## [6443] "251343_at" "251344_at"
## [6445] "251345_at" "251346_at"
## [6447] "251347_at" "251348_at"
## [6449] "251349_s_at" "251350_at"
## [6451] "251351_s_at" "251352_at"
## [6453] "251353_at" "251354_at"
## [6455] "251355_at" "251356_at"
## [6457] "251357_at" "251358_at"
## [6459] "251359_at" "251360_at"
## [6461] "251361_at" "251362_at"
## [6463] "251363_at" "251364_at"
## [6465] "251365_at" "251366_at"
## [6467] "251367_at" "251368_at"
## [6469] "251369_at" "251370_at"
## [6471] "251371_at" "251372_at"
## [6473] "251373_at" "251374_at"
## [6475] "251375_at" "251376_at"
## [6477] "251377_at" "251378_at"
## [6479] "251379_at" "251380_at"
## [6481] "251381_at" "251382_at"
## [6483] "251383_at" "251384_at"
## [6485] "251385_at" "251386_at"
## [6487] "251387_at" "251388_at"
## [6489] "251389_at" "251390_at"
## [6491] "251391_at" "251392_at"
## [6493] "251393_at" "251394_at"
## [6495] "251395_at" "251396_at"
## [6497] "251397_at" "251398_at"
## [6499] "251399_at" "251400_at"
## [6501] "251401_at" "251402_at"
## [6503] "251403_at" "251404_at"
## [6505] "251405_at" "251406_at"
## [6507] "251407_at" "251408_at"
## [6509] "251409_at" "251410_at"
## [6511] "251411_at" "251412_at"
## [6513] "251413_at" "251414_at"
## [6515] "251415_at" "251416_at"
## [6517] "251417_at" "251418_at"
## [6519] "251419_at" "251420_at"
## [6521] "251421_at" "251422_at"
## [6523] "251423_at" "251424_at"
## [6525] "251425_at" "251426_at"
## [6527] "251427_at" "251428_at"
## [6529] "251429_at" "251430_at"
## [6531] "251431_at" "251432_at"
## [6533] "251433_at" "251434_at"
## [6535] "251435_at" "251436_at"
## [6537] "251437_at" "251438_s_at"
## [6539] "251439_at" "251440_at"
## [6541] "251441_at" "251442_at"
## [6543] "251443_at" "251444_at"
## [6545] "251445_at" "251446_at"
## [6547] "251447_at" "251448_at"
## [6549] "251449_at" "251450_at"
## [6551] "251451_s_at" "251452_at"
## [6553] "251453_at" "251454_at"
## [6555] "251455_at" "251456_at"
## [6557] "251457_s_at" "251458_at"
## [6559] "251459_at" "251460_at"
## [6561] "251461_at" "251462_at"
## [6563] "251463_at" "251464_at"
## [6565] "251465_at" "251466_at"
## [6567] "251467_at" "251468_at"
## [6569] "251469_at" "251470_at"
## [6571] "251471_at" "251472_at"
## [6573] "251473_at" "251474_at"
## [6575] "251475_at" "251476_at"
## [6577] "251477_at" "251478_at"
## [6579] "251479_at" "251480_at"
## [6581] "251481_at" "251482_s_at"
## [6583] "251483_at" "251484_at"
## [6585] "251485_at" "251486_at"
## [6587] "251487_at" "251488_at"
## [6589] "251489_at" "251490_at"
## [6591] "251491_at" "251492_at"
## [6593] "251493_at" "251494_at"
## [6595] "251495_at" "251496_at"
## [6597] "251497_at" "251498_at"
## [6599] "251499_at" "251500_at"
## [6601] "251501_at" "251502_at"
## [6603] "251503_at" "251504_at"
## [6605] "251505_at" "251506_at"
## [6607] "251507_at" "251508_at"
## [6609] "251509_at" "251510_at"
## [6611] "251511_at" "251512_at"
## [6613] "251513_at" "251514_at"
## [6615] "251515_at" "251516_s_at"
## [6617] "251517_at" "251518_at"
## [6619] "251519_at" "251520_at"
## [6621] "251521_at" "251522_at"
## [6623] "251523_at" "251524_at"
## [6625] "251525_at" "251526_at"
## [6627] "251527_at" "251528_at"
## [6629] "251529_at" "251530_at"
## [6631] "251531_at" "251532_at"
## [6633] "251533_at" "251534_at"
## [6635] "251535_at" "251536_at"
## [6637] "251537_at" "251538_at"
## [6639] "251539_at" "251540_at"
## [6641] "251541_at" "251542_at"
## [6643] "251543_at" "251544_at"
## [6645] "251545_at" "251546_at"
## [6647] "251547_at" "251548_at"
## [6649] "251549_at" "251550_at"
## [6651] "251551_at" "251552_at"
## [6653] "251553_at" "251554_at"
## [6655] "251555_at" "251556_at"
## [6657] "251557_at" "251558_at"
## [6659] "251559_at" "251560_at"
## [6661] "251561_at" "251562_at"
## [6663] "251563_at" "251564_at"
## [6665] "251565_at" "251566_at"
## [6667] "251567_at" "251568_at"
## [6669] "251569_at" "251570_at"
## [6671] "251571_at" "251572_at"
## [6673] "251573_at" "251574_at"
## [6675] "251575_at" "251576_at"
## [6677] "251577_at" "251578_at"
## [6679] "251579_at" "251580_at"
## [6681] "251581_at" "251582_at"
## [6683] "251583_at" "251584_at"
## [6685] "251585_at" "251586_at"
## [6687] "251587_at" "251588_at"
## [6689] "251589_at" "251590_at"
## [6691] "251591_at" "251592_at"
## [6693] "251593_at" "251594_at"
## [6695] "251595_at" "251596_at"
## [6697] "251597_at" "251598_at"
## [6699] "251599_at" "251600_at"
## [6701] "251601_at" "251602_at"
## [6703] "251603_at" "251604_at"
## [6705] "251605_at" "251606_at"
## [6707] "251607_at" "251608_at"
## [6709] "251609_at" "251610_at"
## [6711] "251611_at" "251612_at"
## [6713] "251613_at" "251614_at"
## [6715] "251615_at" "251616_at"
## [6717] "251617_at" "251618_at"
## [6719] "251619_at" "251620_at"
## [6721] "251621_at" "251622_at"
## [6723] "251623_at" "251624_at"
## [6725] "251625_at" "251626_at"
## [6727] "251627_at" "251628_at"
## [6729] "251629_at" "251630_at"
## [6731] "251631_at" "251632_at"
## [6733] "251633_at" "251634_at"
## [6735] "251635_at" "251636_at"
## [6737] "251637_at" "251638_at"
## [6739] "251639_at" "251640_at"
## [6741] "251641_at" "251642_at"
## [6743] "251643_at" "251644_at"
## [6745] "251645_at" "251646_at"
## [6747] "251647_at" "251648_at"
## [6749] "251649_at" "251650_at"
## [6751] "251651_at" "251652_at"
## [6753] "251653_at" "251654_at"
## [6755] "251655_at" "251656_at"
## [6757] "251657_at" "251658_at"
## [6759] "251659_at" "251660_at"
## [6761] "251661_at" "251662_at"
## [6763] "251663_at" "251664_at"
## [6765] "251665_at" "251666_at"
## [6767] "251667_at" "251668_at"
## [6769] "251669_at" "251670_at"
## [6771] "251671_at" "251672_at"
## [6773] "251673_at" "251674_at"
## [6775] "251675_at" "251676_at"
## [6777] "251677_at" "251678_at"
## [6779] "251679_at" "251680_at"
## [6781] "251681_at" "251682_s_at"
## [6783] "251683_at" "251684_at"
## [6785] "251685_at" "251686_at"
## [6787] "251687_at" "251688_at"
## [6789] "251689_at" "251690_at"
## [6791] "251691_at" "251692_s_at"
## [6793] "251693_at" "251694_s_at"
## [6795] "251695_at" "251696_at"
## [6797] "251697_at" "251698_at"
## [6799] "251699_at" "251700_at"
## [6801] "251701_at" "251702_at"
## [6803] "251703_at" "251704_at"
## [6805] "251705_at" "251706_at"
## [6807] "251707_at" "251708_at"
## [6809] "251709_at" "251710_at"
## [6811] "251711_at" "251712_at"
## [6813] "251713_at" "251714_at"
## [6815] "251715_at" "251716_at"
## [6817] "251717_at" "251718_at"
## [6819] "251719_at" "251720_at"
## [6821] "251721_s_at" "251722_at"
## [6823] "251723_at" "251724_at"
## [6825] "251725_at" "251726_at"
## [6827] "251727_at" "251728_at"
## [6829] "251729_at" "251730_at"
## [6831] "251731_at" "251732_at"
## [6833] "251733_at" "251734_at"
## [6835] "251735_at" "251736_at"
## [6837] "251737_at" "251738_at"
## [6839] "251739_at" "251740_at"
## [6841] "251741_at" "251742_at"
## [6843] "251743_at" "251744_at"
## [6845] "251745_at" "251746_at"
## [6847] "251747_at" "251748_at"
## [6849] "251749_at" "251750_at"
## [6851] "251751_at" "251752_at"
## [6853] "251753_at" "251754_at"
## [6855] "251755_at" "251756_at"
## [6857] "251757_at" "251758_at"
## [6859] "251759_at" "251760_at"
## [6861] "251761_at" "251762_at"
## [6863] "251763_at" "251764_at"
## [6865] "251765_at" "251766_at"
## [6867] "251767_at" "251768_at"
## [6869] "251769_at" "251770_at"
## [6871] "251771_at" "251772_at"
## [6873] "251773_at" "251774_at"
## [6875] "251775_s_at" "251776_at"
## [6877] "251777_s_at" "251778_at"
## [6879] "251779_at" "251780_s_at"
## [6881] "251781_at" "251782_at"
## [6883] "251783_at" "251784_at"
## [6885] "251785_at" "251786_at"
## [6887] "251787_at" "251788_at"
## [6889] "251789_at" "251790_at"
## [6891] "251791_at" "251792_at"
## [6893] "251793_at" "251794_at"
## [6895] "251795_at" "251796_at"
## [6897] "251797_at" "251798_at"
## [6899] "251799_at" "251800_at"
## [6901] "251801_at" "251802_at"
## [6903] "251803_at" "251804_at"
## [6905] "251805_at" "251806_at"
## [6907] "251807_at" "251808_at"
## [6909] "251809_at" "251810_at"
## [6911] "251811_at" "251812_at"
## [6913] "251813_at" "251814_at"
## [6915] "251815_at" "251816_at"
## [6917] "251817_at" "251818_at"
## [6919] "251819_at" "251820_at"
## [6921] "251821_at" "251822_at"
## [6923] "251823_at" "251824_at"
## [6925] "251825_at" "251826_at"
## [6927] "251827_at" "251828_at"
## [6929] "251829_at" "251830_at"
## [6931] "251831_at" "251832_at"
## [6933] "251833_at" "251834_at"
## [6935] "251835_at" "251836_at"
## [6937] "251837_s_at" "251838_at"
## [6939] "251839_at" "251840_at"
## [6941] "251841_at" "251842_at"
## [6943] "251843_x_at" "251844_at"
## [6945] "251845_at" "251846_at"
## [6947] "251847_at" "251848_at"
## [6949] "251849_at" "251850_at"
## [6951] "251851_at" "251852_at"
## [6953] "251853_at" "251854_at"
## [6955] "251855_at" "251856_at"
## [6957] "251857_at" "251858_at"
## [6959] "251859_at" "251860_at"
## [6961] "251861_at" "251862_at"
## [6963] "251863_at" "251864_at"
## [6965] "251865_at" "251866_at"
## [6967] "251867_at" "251868_at"
## [6969] "251869_at" "251870_at"
## [6971] "251871_at" "251872_at"
## [6973] "251873_at" "251874_at"
## [6975] "251875_at" "251876_at"
## [6977] "251877_at" "251878_at"
## [6979] "251879_at" "251880_at"
## [6981] "251881_at" "251882_at"
## [6983] "251883_at" "251884_at"
## [6985] "251885_at" "251886_at"
## [6987] "251887_at" "251888_at"
## [6989] "251889_at" "251890_at"
## [6991] "251891_at" "251892_at"
## [6993] "251893_at" "251894_at"
## [6995] "251895_at" "251896_at"
## [6997] "251897_at" "251898_at"
## [6999] "251899_at" "251900_at"
## [7001] "251901_at" "251902_at"
## [7003] "251903_at" "251904_at"
## [7005] "251905_at" "251906_at"
## [7007] "251907_at" "251908_at"
## [7009] "251909_at" "251910_at"
## [7011] "251911_at" "251912_at"
## [7013] "251913_at" "251914_at"
## [7015] "251915_at" "251916_at"
## [7017] "251917_at" "251918_at"
## [7019] "251919_at" "251920_at"
## [7021] "251921_at" "251922_at"
## [7023] "251923_at" "251924_at"
## [7025] "251925_at" "251926_at"
## [7027] "251927_at" "251928_at"
## [7029] "251929_at" "251930_at"
## [7031] "251931_at" "251932_at"
## [7033] "251933_at" "251934_at"
## [7035] "251935_at" "251936_at"
## [7037] "251937_at" "251938_at"
## [7039] "251939_at" "251940_at"
## [7041] "251941_at" "251942_at"
## [7043] "251943_at" "251944_at"
## [7045] "251945_at" "251946_at"
## [7047] "251947_at" "251948_at"
## [7049] "251949_at" "251950_at"
## [7051] "251951_s_at" "251952_at"
## [7053] "251953_at" "251954_at"
## [7055] "251955_at" "251956_at"
## [7057] "251957_at" "251958_at"
## [7059] "251959_at" "251960_at"
## [7061] "251961_at" "251962_at"
## [7063] "251963_at" "251964_at"
## [7065] "251965_at" "251966_at"
## [7067] "251967_at" "251968_at"
## [7069] "251969_at" "251970_at"
## [7071] "251971_at" "251972_at"
## [7073] "251973_at" "251974_at"
## [7075] "251975_at" "251976_at"
## [7077] "251977_at" "251978_at"
## [7079] "251979_at" "251980_at"
## [7081] "251981_at" "251982_at"
## [7083] "251983_at" "251984_at"
## [7085] "251985_at" "251986_at"
## [7087] "251987_at" "251988_at"
## [7089] "251989_at" "251990_at"
## [7091] "251991_at" "251992_at"
## [7093] "251993_at" "251994_at"
## [7095] "251995_at" "251996_at"
## [7097] "251997_at" "251998_at"
## [7099] "251999_at" "252000_at"
## [7101] "252001_at" "252002_at"
## [7103] "252003_at" "252004_at"
## [7105] "252005_at" "252006_at"
## [7107] "252007_at" "252008_at"
## [7109] "252009_at" "252010_at"
## [7111] "252011_at" "252012_at"
## [7113] "252013_at" "252014_at"
## [7115] "252015_at" "252016_at"
## [7117] "252017_at" "252018_at"
## [7119] "252019_at" "252020_at"
## [7121] "252021_at" "252022_at"
## [7123] "252023_at" "252024_at"
## [7125] "252025_at" "252026_at"
## [7127] "252027_at" "252028_at"
## [7129] "252029_s_at" "252030_at"
## [7131] "252031_at" "252032_at"
## [7133] "252033_at" "252034_at"
## [7135] "252035_at" "252036_at"
## [7137] "252037_at" "252038_at"
## [7139] "252039_at" "252040_at"
## [7141] "252041_at" "252042_at"
## [7143] "252043_at" "252044_at"
## [7145] "252045_at" "252046_at"
## [7147] "252047_at" "252048_at"
## [7149] "252049_at" "252050_at"
## [7151] "252051_at" "252052_at"
## [7153] "252053_at" "252054_at"
## [7155] "252055_at" "252056_at"
## [7157] "252057_at" "252058_at"
## [7159] "252059_at" "252060_at"
## [7161] "252061_at" "252062_at"
## [7163] "252063_at" "252064_at"
## [7165] "252065_at" "252066_at"
## [7167] "252067_at" "252068_at"
## [7169] "252069_s_at" "252070_at"
## [7171] "252071_at" "252072_at"
## [7173] "252073_at" "252074_at"
## [7175] "252075_at" "252076_at"
## [7177] "252077_at" "252078_at"
## [7179] "252079_at" "252080_at"
## [7181] "252081_at" "252082_at"
## [7183] "252083_at" "252084_at"
## [7185] "252085_s_at" "252086_at"
## [7187] "252087_at" "252088_at"
## [7189] "252089_at" "252090_at"
## [7191] "252091_at" "252092_at"
## [7193] "252093_at" "252094_at"
## [7195] "252095_at" "252096_at"
## [7197] "252097_at" "252098_at"
## [7199] "252099_at" "252100_at"
## [7201] "252101_at" "252102_at"
## [7203] "252103_at" "252104_at"
## [7205] "252105_at" "252106_at"
## [7207] "252107_at" "252108_at"
## [7209] "252109_at" "252110_at"
## [7211] "252111_at" "252112_at"
## [7213] "252113_at" "252114_at"
## [7215] "252115_at" "252116_at"
## [7217] "252117_at" "252118_at"
## [7219] "252119_at" "252120_at"
## [7221] "252121_at" "252122_at"
## [7223] "252123_at" "252124_at"
## [7225] "252125_at" "252126_at"
## [7227] "252127_at" "252128_at"
## [7229] "252129_at" "252130_at"
## [7231] "252131_at" "252132_at"
## [7233] "252133_at" "252134_at"
## [7235] "252135_at" "252136_at"
## [7237] "252137_at" "252138_at"
## [7239] "252139_at" "252140_at"
## [7241] "252141_at" "252142_at"
## [7243] "252143_at" "252144_at"
## [7245] "252145_at" "252146_at"
## [7247] "252147_at" "252148_at"
## [7249] "252149_at" "252150_at"
## [7251] "252151_at" "252152_at"
## [7253] "252153_at" "252154_at"
## [7255] "252155_at" "252156_at"
## [7257] "252157_at" "252158_at"
## [7259] "252159_at" "252160_at"
## [7261] "252161_at" "252162_at"
## [7263] "252163_at" "252164_at"
## [7265] "252165_at" "252166_at"
## [7267] "252167_at" "252168_at"
## [7269] "252169_at" "252170_at"
## [7271] "252171_at" "252172_at"
## [7273] "252173_at" "252174_at"
## [7275] "252175_at" "252176_at"
## [7277] "252177_at" "252178_at"
## [7279] "252179_at" "252180_at"
## [7281] "252181_at" "252182_at"
## [7283] "252183_at" "252184_at"
## [7285] "252185_at" "252186_at"
## [7287] "252187_at" "252188_at"
## [7289] "252189_at" "252190_at"
## [7291] "252191_at" "252192_at"
## [7293] "252193_at" "252194_at"
## [7295] "252195_at" "252196_at"
## [7297] "252197_at" "252198_x_at"
## [7299] "252199_at" "252200_at"
## [7301] "252201_at" "252202_at"
## [7303] "252203_at" "252204_at"
## [7305] "252205_at" "252206_at"
## [7307] "252207_at" "252208_at"
## [7309] "252209_at" "252210_at"
## [7311] "252211_at" "252212_at"
## [7313] "252213_at" "252214_at"
## [7315] "252215_at" "252216_at"
## [7317] "252217_at" "252218_at"
## [7319] "252219_at" "252220_at"
## [7321] "252221_at" "252222_at"
## [7323] "252223_at" "252224_at"
## [7325] "252225_at" "252226_at"
## [7327] "252227_at" "252228_at"
## [7329] "252229_at" "252230_at"
## [7331] "252231_at" "252232_at"
## [7333] "252233_at" "252234_at"
## [7335] "252235_at" "252236_at"
## [7337] "252237_at" "252238_at"
## [7339] "252239_at" "252240_at"
## [7341] "252241_at" "252242_at"
## [7343] "252243_at" "252244_at"
## [7345] "252245_at" "252246_at"
## [7347] "252247_at" "252248_at"
## [7349] "252249_at" "252250_at"
## [7351] "252251_at" "252252_at"
## [7353] "252253_at" "252254_at"
## [7355] "252255_at" "252256_at"
## [7357] "252257_at" "252258_at"
## [7359] "252259_at" "252260_at"
## [7361] "252261_at" "252262_at"
## [7363] "252263_at" "252264_at"
## [7365] "252265_at" "252266_at"
## [7367] "252267_at" "252268_at"
## [7369] "252269_at" "252270_at"
## [7371] "252271_s_at" "252272_at"
## [7373] "252273_at" "252274_at"
## [7375] "252275_at" "252276_at"
## [7377] "252277_at" "252278_at"
## [7379] "252279_at" "252280_at"
## [7381] "252281_at" "252282_at"
## [7383] "252283_at" "252284_at"
## [7385] "252285_at" "252286_at"
## [7387] "252287_at" "252288_at"
## [7389] "252289_at" "252290_at"
## [7391] "252291_s_at" "252292_at"
## [7393] "252293_at" "252294_at"
## [7395] "252295_at" "252296_at"
## [7397] "252297_at" "252298_at"
## [7399] "252299_at" "252300_at"
## [7401] "252301_at" "252302_at"
## [7403] "252303_at" "252304_at"
## [7405] "252305_at" "252306_at"
## [7407] "252307_at" "252308_at"
## [7409] "252309_at" "252310_at"
## [7411] "252311_at" "252312_at"
## [7413] "252313_at" "252314_at"
## [7415] "252315_at" "252316_at"
## [7417] "252317_at" "252318_at"
## [7419] "252319_at" "252320_at"
## [7421] "252321_at" "252322_at"
## [7423] "252323_at" "252324_at"
## [7425] "252325_at" "252326_at"
## [7427] "252327_at" "252328_at"
## [7429] "252329_at" "252330_at"
## [7431] "252331_s_at" "252332_at"
## [7433] "252333_at" "252334_at"
## [7435] "252335_at" "252336_at"
## [7437] "252337_at" "252338_at"
## [7439] "252339_at" "252340_at"
## [7441] "252341_at" "252342_at"
## [7443] "252343_at" "252344_s_at"
## [7445] "252345_at" "252346_at"
## [7447] "252347_at" "252348_at"
## [7449] "252349_at" "252350_at"
## [7451] "252351_at" "252352_at"
## [7453] "252353_at" "252354_at"
## [7455] "252355_at" "252356_at"
## [7457] "252357_at" "252358_at"
## [7459] "252359_at" "252360_at"
## [7461] "252361_at" "252362_at"
## [7463] "252363_at" "252364_at"
## [7465] "252365_at" "252366_at"
## [7467] "252367_at" "252368_at"
## [7469] "252369_at" "252370_at"
## [7471] "252371_at" "252372_at"
## [7473] "252373_at" "252374_at"
## [7475] "252375_at" "252376_at"
## [7477] "252377_at" "252378_at"
## [7479] "252379_at" "252380_at"
## [7481] "252381_s_at" "252382_at"
## [7483] "252383_at" "252384_at"
## [7485] "252385_at" "252386_at"
## [7487] "252387_at" "252388_at"
## [7489] "252389_at" "252390_at"
## [7491] "252391_at" "252392_s_at"
## [7493] "252393_at" "252394_at"
## [7495] "252395_at" "252396_at"
## [7497] "252397_at" "252398_at"
## [7499] "252399_at" "252400_at"
## [7501] "252401_at" "252402_s_at"
## [7503] "252403_at" "252404_at"
## [7505] "252405_at" "252406_at"
## [7507] "252407_at" "252408_at"
## [7509] "252409_at" "252410_at"
## [7511] "252411_at" "252412_at"
## [7513] "252413_at" "252414_at"
## [7515] "252415_at" "252416_at"
## [7517] "252417_at" "252418_at"
## [7519] "252419_at" "252420_at"
## [7521] "252421_at" "252422_at"
## [7523] "252423_at" "252424_at"
## [7525] "252425_at" "252426_at"
## [7527] "252427_at" "252428_at"
## [7529] "252429_at" "252430_at"
## [7531] "252431_at" "252432_at"
## [7533] "252433_at" "252434_s_at"
## [7535] "252435_at" "252436_x_at"
## [7537] "252437_at" "252438_at"
## [7539] "252439_at" "252440_at"
## [7541] "252441_at" "252442_at"
## [7543] "252443_at" "252444_at"
## [7545] "252445_at" "252446_at"
## [7547] "252447_at" "252448_at"
## [7549] "252449_at" "252450_s_at"
## [7551] "252451_at" "252452_at"
## [7553] "252453_at" "252454_at"
## [7555] "252455_at" "252456_at"
## [7557] "252457_at" "252458_at"
## [7559] "252459_s_at" "252460_at"
## [7561] "252461_at" "252462_at"
## [7563] "252463_at" "252464_at"
## [7565] "252465_x_at" "252466_x_at"
## [7567] "252467_at" "252468_at"
## [7569] "252469_at" "252470_at"
## [7571] "252471_at" "252472_at"
## [7573] "252473_s_at" "252474_at"
## [7575] "252475_s_at" "252476_at"
## [7577] "252477_at" "252478_at"
## [7579] "252479_at" "252480_at"
## [7581] "252481_at" "252482_at"
## [7583] "252483_at" "252484_at"
## [7585] "252485_at" "252486_at"
## [7587] "252487_at" "252488_at"
## [7589] "252489_at" "252490_at"
## [7591] "252491_at" "252492_at"
## [7593] "252493_at" "252494_at"
## [7595] "252495_at" "252496_at"
## [7597] "252497_at" "252498_at"
## [7599] "252499_s_at" "252500_at"
## [7601] "252501_at" "252502_at"
## [7603] "252503_at" "252504_at"
## [7605] "252505_at" "252506_at"
## [7607] "252507_at" "252508_at"
## [7609] "252509_at" "252510_at"
## [7611] "252511_at" "252512_at"
## [7613] "252513_at" "252514_at"
## [7615] "252515_at" "252516_at"
## [7617] "252517_at" "252518_at"
## [7619] "252519_at" "252520_at"
## [7621] "252521_at" "252522_at"
## [7623] "252523_at" "252524_at"
## [7625] "252525_at" "252526_at"
## [7627] "252527_at" "252528_at"
## [7629] "252529_at" "252530_at"
## [7631] "252531_at" "252532_at"
## [7633] "252533_at" "252534_at"
## [7635] "252535_at" "252536_at"
## [7637] "252537_at" "252538_at"
## [7639] "252539_at" "252540_at"
## [7641] "252541_at" "252542_at"
## [7643] "252543_at" "252544_at"
## [7645] "252545_at" "252546_at"
## [7647] "252547_at" "252548_at"
## [7649] "252549_at" "252550_at"
## [7651] "252551_at" "252552_at"
## [7653] "252553_at" "252554_s_at"
## [7655] "252555_at" "252556_at"
## [7657] "252557_at" "252558_at"
## [7659] "252559_at" "252560_at"
## [7661] "252561_at" "252562_s_at"
## [7663] "252563_at" "252564_at"
## [7665] "252565_at" "252566_at"
## [7667] "252567_at" "252568_at"
## [7669] "252569_at" "252570_at"
## [7671] "252571_at" "252572_at"
## [7673] "252573_at" "252574_at"
## [7675] "252575_at" "252576_s_at"
## [7677] "252577_at" "252578_at"
## [7679] "252579_at" "252580_at"
## [7681] "252581_at" "252582_at"
## [7683] "252583_at" "252584_at"
## [7685] "252585_s_at" "252586_at"
## [7687] "252587_at" "252588_at"
## [7689] "252589_s_at" "252590_at"
## [7691] "252591_at" "252592_at"
## [7693] "252593_at" "252594_at"
## [7695] "252595_at" "252596_at"
## [7697] "252597_at" "252598_at"
## [7699] "252599_at" "252600_at"
## [7701] "252601_s_at" "252602_at"
## [7703] "252603_at" "252604_at"
## [7705] "252605_s_at" "252606_at"
## [7707] "252607_at" "252608_at"
## [7709] "252609_at" "252610_x_at"
## [7711] "252611_at" "252612_at"
## [7713] "252613_at" "252614_at"
## [7715] "252615_at" "252616_at"
## [7717] "252617_at" "252618_at"
## [7719] "252619_at" "252620_at"
## [7721] "252621_at" "252622_at"
## [7723] "252623_at" "252624_at"
## [7725] "252625_at" "252626_at"
## [7727] "252627_at" "252628_at"
## [7729] "252629_at" "252630_at"
## [7731] "252631_s_at" "252632_s_at"
## [7733] "252633_x_at" "252634_x_at"
## [7735] "252635_at" "252636_at"
## [7737] "252637_at" "252638_at"
## [7739] "252639_at" "252640_at"
## [7741] "252641_at" "252642_at"
## [7743] "252643_at" "252644_at"
## [7745] "252645_at" "252646_at"
## [7747] "252647_at" "252648_at"
## [7749] "252649_at" "252650_at"
## [7751] "252651_at" "252652_at"
## [7753] "252653_at" "252654_at"
## [7755] "252655_at" "252656_at"
## [7757] "252657_at" "252658_at"
## [7759] "252659_at" "252660_at"
## [7761] "252661_at" "252662_at"
## [7763] "252663_at" "252664_at"
## [7765] "252665_at" "252666_at"
## [7767] "252667_at" "252668_at"
## [7769] "252669_at" "252670_at"
## [7771] "252671_at" "252672_at"
## [7773] "252673_at" "252674_at"
## [7775] "252675_at" "252676_at"
## [7777] "252677_at" "252678_s_at"
## [7779] "252679_at" "252680_at"
## [7781] "252681_at" "252682_at"
## [7783] "252683_at" "252684_at"
## [7785] "252685_at" "252686_at"
## [7787] "252687_at" "252688_at"
## [7789] "252689_at" "252690_at"
## [7791] "252691_at" "252692_at"
## [7793] "252693_s_at" "252694_at"
## [7795] "252695_s_at" "252696_at"
## [7797] "252697_at" "252698_at"
## [7799] "252699_at" "252700_at"
## [7801] "252701_at" "252702_at"
## [7803] "252703_at" "252704_at"
## [7805] "252705_at" "252706_at"
## [7807] "252707_at" "252708_at"
## [7809] "252709_at" "252710_at"
## [7811] "252711_at" "252712_at"
## [7813] "252713_at" "252714_x_at"
## [7815] "252715_x_at" "252716_at"
## [7817] "252717_at" "252718_at"
## [7819] "252719_at" "252720_at"
## [7821] "252721_at" "252722_at"
## [7823] "252723_at" "252724_at"
## [7825] "252725_at" "252726_at"
## [7827] "252727_s_at" "252728_at"
## [7829] "252729_at" "252730_at"
## [7831] "252731_at" "252732_at"
## [7833] "252733_at" "252734_at"
## [7835] "252735_at" "252736_at"
## [7837] "252737_at" "252738_at"
## [7839] "252739_at" "252740_at"
## [7841] "252741_at" "252742_at"
## [7843] "252743_at" "252744_at"
## [7845] "252745_at" "252746_at"
## [7847] "252747_at" "252748_at"
## [7849] "252749_at" "252750_at"
## [7851] "252751_at" "252752_s_at"
## [7853] "252753_at" "252754_at"
## [7855] "252755_at" "252756_s_at"
## [7857] "252757_at" "252758_at"
## [7859] "252759_at" "252760_x_at"
## [7861] "252761_at" "252762_at"
## [7863] "252763_at" "252764_at"
## [7865] "252765_at" "252766_at"
## [7867] "252767_at" "252768_at"
## [7869] "252769_at" "252770_at"
## [7871] "252771_at" "252772_at"
## [7873] "252773_at" "252774_at"
## [7875] "252775_s_at" "252776_at"
## [7877] "252777_at" "252778_at"
## [7879] "252779_at" "252780_at"
## [7881] "252781_at" "252782_at"
## [7883] "252783_at" "252784_at"
## [7885] "252785_at" "252786_at"
## [7887] "252787_at" "252788_at"
## [7889] "252789_s_at" "252790_at"
## [7891] "252791_at" "252792_at"
## [7893] "252793_at" "252794_at"
## [7895] "252795_at" "252796_at"
## [7897] "252797_at" "252798_at"
## [7899] "252799_at" "252800_at"
## [7901] "252801_at" "252802_at"
## [7903] "252803_at" "252804_at"
## [7905] "252805_at" "252806_at"
## [7907] "252807_at" "252808_at"
## [7909] "252809_at" "252810_at"
## [7911] "252811_at" "252812_at"
## [7913] "252813_at" "252814_at"
## [7915] "252815_at" "252816_at"
## [7917] "252817_at" "252818_at"
## [7919] "252819_at" "252820_at"
## [7921] "252821_at" "252822_at"
## [7923] "252823_at" "252824_at"
## [7925] "252825_at" "252826_at"
## [7927] "252827_at" "252828_at"
## [7929] "252829_at" "252830_at"
## [7931] "252831_at" "252832_at"
## [7933] "252833_at" "252834_at"
## [7935] "252835_at" "252836_at"
## [7937] "252837_at" "252838_at"
## [7939] "252839_at" "252840_at"
## [7941] "252841_at" "252842_at"
## [7943] "252843_at" "252844_at"
## [7945] "252845_at" "252846_at"
## [7947] "252847_at" "252848_at"
## [7949] "252849_at" "252850_at"
## [7951] "252851_at" "252852_at"
## [7953] "252853_at" "252854_at"
## [7955] "252855_at" "252856_at"
## [7957] "252857_at" "252858_at"
## [7959] "252859_at" "252860_at"
## [7961] "252861_at" "252862_at"
## [7963] "252863_at" "252864_at"
## [7965] "252865_at" "252866_at"
## [7967] "252867_at" "252868_at"
## [7969] "252869_at" "252870_at"
## [7971] "252871_at" "252872_at"
## [7973] "252873_at" "252874_at"
## [7975] "252875_at" "252876_at"
## [7977] "252877_at" "252878_at"
## [7979] "252879_at" "252880_at"
## [7981] "252881_at" "252882_at"
## [7983] "252883_at" "252884_at"
## [7985] "252885_at" "252886_at"
## [7987] "252887_at" "252888_at"
## [7989] "252889_at" "252890_at"
## [7991] "252891_at" "252892_at"
## [7993] "252893_at" "252894_at"
## [7995] "252895_at" "252896_at"
## [7997] "252897_at" "252898_at"
## [7999] "252899_at" "252900_at"
## [8001] "252901_at" "252902_at"
## [8003] "252903_at" "252904_at"
## [8005] "252905_at" "252906_at"
## [8007] "252907_at" "252908_at"
## [8009] "252909_at" "252910_at"
## [8011] "252911_at" "252912_at"
## [8013] "252913_at" "252914_at"
## [8015] "252915_at" "252916_at"
## [8017] "252917_at" "252918_at"
## [8019] "252919_at" "252920_at"
## [8021] "252921_at" "252922_at"
## [8023] "252923_at" "252924_at"
## [8025] "252925_at" "252926_at"
## [8027] "252927_at" "252928_at"
## [8029] "252929_at" "252930_at"
## [8031] "252931_at" "252932_at"
## [8033] "252933_at" "252934_at"
## [8035] "252935_at" "252936_at"
## [8037] "252937_at" "252938_at"
## [8039] "252939_at" "252940_at"
## [8041] "252941_at" "252942_at"
## [8043] "252943_at" "252944_at"
## [8045] "252945_at" "252946_at"
## [8047] "252947_at" "252948_at"
## [8049] "252949_at" "252950_at"
## [8051] "252951_at" "252952_at"
## [8053] "252953_at" "252954_at"
## [8055] "252955_at" "252956_at"
## [8057] "252957_at" "252958_at"
## [8059] "252959_at" "252960_at"
## [8061] "252961_at" "252962_at"
## [8063] "252963_at" "252964_at"
## [8065] "252965_at" "252966_at"
## [8067] "252967_at" "252968_at"
## [8069] "252969_at" "252970_at"
## [8071] "252971_at" "252972_at"
## [8073] "252973_s_at" "252974_at"
## [8075] "252975_s_at" "252976_s_at"
## [8077] "252977_at" "252978_at"
## [8079] "252979_at" "252980_at"
## [8081] "252981_at" "252982_at"
## [8083] "252983_at" "252984_at"
## [8085] "252985_at" "252986_at"
## [8087] "252987_at" "252988_at"
## [8089] "252989_at" "252990_at"
## [8091] "252991_at" "252992_at"
## [8093] "252993_at" "252994_at"
## [8095] "252995_at" "252996_s_at"
## [8097] "252997_at" "252998_at"
## [8099] "252999_at" "253000_at"
## [8101] "253001_at" "253002_at"
## [8103] "253003_s_at" "253004_at"
## [8105] "253005_at" "253006_at"
## [8107] "253007_at" "253008_at"
## [8109] "253009_at" "253010_at"
## [8111] "253011_at" "253012_at"
## [8113] "253013_at" "253014_at"
## [8115] "253015_at" "253016_at"
## [8117] "253017_at" "253018_at"
## [8119] "253019_at" "253020_at"
## [8121] "253021_at" "253022_at"
## [8123] "253023_at" "253024_at"
## [8125] "253025_at" "253026_at"
## [8127] "253027_at" "253028_at"
## [8129] "253029_at" "253030_at"
## [8131] "253031_at" "253032_at"
## [8133] "253033_at" "253034_at"
## [8135] "253035_at" "253036_at"
## [8137] "253037_at" "253038_at"
## [8139] "253039_at" "253040_at"
## [8141] "253041_at" "253042_at"
## [8143] "253043_at" "253044_at"
## [8145] "253045_at" "253046_at"
## [8147] "253047_at" "253048_at"
## [8149] "253049_at" "253050_at"
## [8151] "253051_at" "253052_at"
## [8153] "253053_at" "253054_at"
## [8155] "253055_at" "253056_at"
## [8157] "253057_at" "253058_at"
## [8159] "253059_s_at" "253060_at"
## [8161] "253061_at" "253062_at"
## [8163] "253063_at" "253064_at"
## [8165] "253065_at" "253066_at"
## [8167] "253067_at" "253068_at"
## [8169] "253069_at" "253070_at"
## [8171] "253071_at" "253072_at"
## [8173] "253073_at" "253074_at"
## [8175] "253075_at" "253076_at"
## [8177] "253077_at" "253078_at"
## [8179] "253079_s_at" "253080_at"
## [8181] "253081_at" "253082_at"
## [8183] "253083_at" "253084_at"
## [8185] "253085_s_at" "253086_at"
## [8187] "253087_at" "253088_at"
## [8189] "253089_at" "253090_at"
## [8191] "253091_at" "253092_at"
## [8193] "253093_at" "253094_at"
## [8195] "253095_at" "253096_at"
## [8197] "253097_at" "253098_at"
## [8199] "253099_s_at" "253100_at"
## [8201] "253101_at" "253102_at"
## [8203] "253103_at" "253104_at"
## [8205] "253105_at" "253106_at"
## [8207] "253107_at" "253108_at"
## [8209] "253109_at" "253110_at"
## [8211] "253111_at" "253112_at"
## [8213] "253113_at" "253114_at"
## [8215] "253115_at" "253116_at"
## [8217] "253117_at" "253118_at"
## [8219] "253119_at" "253120_at"
## [8221] "253121_at" "253122_at"
## [8223] "253123_at" "253124_at"
## [8225] "253125_at" "253126_at"
## [8227] "253127_at" "253128_at"
## [8229] "253129_at" "253130_at"
## [8231] "253131_at" "253132_at"
## [8233] "253133_at" "253134_at"
## [8235] "253135_at" "253136_at"
## [8237] "253137_at" "253138_at"
## [8239] "253139_at" "253140_at"
## [8241] "253141_at" "253142_at"
## [8243] "253143_at" "253144_at"
## [8245] "253145_at" "253146_at"
## [8247] "253147_at" "253148_at"
## [8249] "253149_at" "253150_at"
## [8251] "253151_at" "253152_at"
## [8253] "253153_at" "253154_at"
## [8255] "253155_at" "253156_at"
## [8257] "253157_at" "253158_at"
## [8259] "253159_at" "253160_at"
## [8261] "253161_at" "253162_at"
## [8263] "253163_at" "253164_at"
## [8265] "253165_at" "253166_at"
## [8267] "253167_at" "253168_at"
## [8269] "253169_at" "253170_at"
## [8271] "253171_at" "253172_at"
## [8273] "253173_at" "253174_at"
## [8275] "253175_at" "253176_at"
## [8277] "253177_s_at" "253178_at"
## [8279] "253179_at" "253180_at"
## [8281] "253181_at" "253182_at"
## [8283] "253183_at" "253184_at"
## [8285] "253185_at" "253186_at"
## [8287] "253187_at" "253188_at"
## [8289] "253189_at" "253190_at"
## [8291] "253191_at" "253192_at"
## [8293] "253193_at" "253194_s_at"
## [8295] "253195_at" "253196_at"
## [8297] "253197_at" "253198_at"
## [8299] "253199_at" "253200_at"
## [8301] "253201_at" "253202_at"
## [8303] "253203_at" "253204_at"
## [8305] "253205_at" "253206_at"
## [8307] "253207_at" "253208_at"
## [8309] "253209_at" "253210_at"
## [8311] "253211_at" "253212_s_at"
## [8313] "253213_at" "253214_at"
## [8315] "253215_at" "253216_at"
## [8317] "253217_at" "253218_at"
## [8319] "253219_at" "253220_s_at"
## [8321] "253221_at" "253222_at"
## [8323] "253223_at" "253224_at"
## [8325] "253225_at" "253226_at"
## [8327] "253227_at" "253228_at"
## [8329] "253229_at" "253230_at"
## [8331] "253231_at" "253232_at"
## [8333] "253233_at" "253234_at"
## [8335] "253235_at" "253236_at"
## [8337] "253237_at" "253238_at"
## [8339] "253239_at" "253240_at"
## [8341] "253241_at" "253242_at"
## [8343] "253243_at" "253244_at"
## [8345] "253245_at" "253246_at"
## [8347] "253247_at" "253248_at"
## [8349] "253249_at" "253250_at"
## [8351] "253251_at" "253252_at"
## [8353] "253253_at" "253254_at"
## [8355] "253255_at" "253256_at"
## [8357] "253257_at" "253258_at"
## [8359] "253259_at" "253260_at"
## [8361] "253261_at" "253262_at"
## [8363] "253263_at" "253264_at"
## [8365] "253265_at" "253266_s_at"
## [8367] "253267_at" "253268_s_at"
## [8369] "253269_at" "253270_at"
## [8371] "253271_s_at" "253272_at"
## [8373] "253273_at" "253274_at"
## [8375] "253275_at" "253276_at"
## [8377] "253277_at" "253278_at"
## [8379] "253279_at" "253280_at"
## [8381] "253281_at" "253282_at"
## [8383] "253283_at" "253284_at"
## [8385] "253285_at" "253286_at"
## [8387] "253287_at" "253288_at"
## [8389] "253289_at" "253290_at"
## [8391] "253291_at" "253292_at"
## [8393] "253293_at" "253294_at"
## [8395] "253295_at" "253296_at"
## [8397] "253297_at" "253298_at"
## [8399] "253299_at" "253300_at"
## [8401] "253301_at" "253302_at"
## [8403] "253303_at" "253304_at"
## [8405] "253305_at" "253306_at"
## [8407] "253307_at" "253308_at"
## [8409] "253309_at" "253310_at"
## [8411] "253311_s_at" "253312_s_at"
## [8413] "253313_at" "253314_at"
## [8415] "253315_at" "253316_s_at"
## [8417] "253317_at" "253318_at"
## [8419] "253319_at" "253320_at"
## [8421] "253321_at" "253322_at"
## [8423] "253323_at" "253324_at"
## [8425] "253325_at" "253326_at"
## [8427] "253327_at" "253328_at"
## [8429] "253329_at" "253330_at"
## [8431] "253331_at" "253332_at"
## [8433] "253333_at" "253334_at"
## [8435] "253335_at" "253336_at"
## [8437] "253337_at" "253338_at"
## [8439] "253339_at" "253340_s_at"
## [8441] "253341_at" "253342_at"
## [8443] "253343_at" "253344_at"
## [8445] "253345_at" "253346_at"
## [8447] "253347_at" "253348_at"
## [8449] "253349_at" "253350_at"
## [8451] "253351_at" "253352_at"
## [8453] "253353_at" "253354_at"
## [8455] "253355_at" "253356_at"
## [8457] "253357_at" "253358_at"
## [8459] "253359_at" "253360_at"
## [8461] "253361_at" "253362_s_at"
## [8463] "253363_at" "253364_at"
## [8465] "253365_at" "253366_at"
## [8467] "253367_at" "253368_at"
## [8469] "253369_at" "253370_at"
## [8471] "253371_at" "253372_at"
## [8473] "253373_at" "253374_at"
## [8475] "253375_at" "253376_at"
## [8477] "253377_at" "253378_at"
## [8479] "253379_at" "253380_at"
## [8481] "253381_at" "253382_at"
## [8483] "253383_at" "253384_at"
## [8485] "253385_at" "253386_at"
## [8487] "253387_at" "253388_at"
## [8489] "253389_at" "253390_at"
## [8491] "253391_at" "253392_at"
## [8493] "253393_at" "253394_at"
## [8495] "253395_at" "253396_at"
## [8497] "253397_at" "253398_at"
## [8499] "253399_at" "253400_at"
## [8501] "253401_at" "253402_at"
## [8503] "253403_at" "253404_at"
## [8505] "253405_at" "253406_at"
## [8507] "253407_at" "253408_at"
## [8509] "253409_at" "253410_at"
## [8511] "253411_at" "253412_at"
## [8513] "253413_at" "253414_at"
## [8515] "253415_at" "253416_at"
## [8517] "253417_at" "253418_at"
## [8519] "253419_at" "253420_at"
## [8521] "253421_at" "253422_at"
## [8523] "253423_at" "253424_at"
## [8525] "253425_at" "253426_at"
## [8527] "253427_at" "253428_at"
## [8529] "253429_at" "253430_at"
## [8531] "253431_at" "253432_at"
## [8533] "253433_s_at" "253434_at"
## [8535] "253435_at" "253436_at"
## [8537] "253437_at" "253438_at"
## [8539] "253439_at" "253440_at"
## [8541] "253441_at" "253442_at"
## [8543] "253443_at" "253444_at"
## [8545] "253445_at" "253446_at"
## [8547] "253447_at" "253448_at"
## [8549] "253449_at" "253450_at"
## [8551] "253451_at" "253452_at"
## [8553] "253453_at" "253454_at"
## [8555] "253455_at" "253456_at"
## [8557] "253457_at" "253458_at"
## [8559] "253459_at" "253460_at"
## [8561] "253461_at" "253462_at"
## [8563] "253463_at" "253464_at"
## [8565] "253465_at" "253466_at"
## [8567] "253467_at" "253468_at"
## [8569] "253469_at" "253470_s_at"
## [8571] "253471_at" "253472_at"
## [8573] "253473_at" "253474_at"
## [8575] "253475_at" "253476_at"
## [8577] "253477_at" "253478_at"
## [8579] "253479_at" "253480_at"
## [8581] "253481_at" "253482_at"
## [8583] "253483_at" "253484_at"
## [8585] "253485_at" "253486_at"
## [8587] "253487_at" "253488_at"
## [8589] "253489_at" "253490_at"
## [8591] "253491_at" "253492_at"
## [8593] "253493_at" "253494_at"
## [8595] "253495_at" "253496_at"
## [8597] "253497_at" "253498_at"
## [8599] "253499_at" "253500_at"
## [8601] "253501_at" "253502_at"
## [8603] "253503_at" "253504_at"
## [8605] "253505_at" "253506_at"
## [8607] "253507_at" "253508_at"
## [8609] "253509_at" "253510_at"
## [8611] "253511_at" "253512_at"
## [8613] "253513_at" "253514_at"
## [8615] "253515_at" "253516_at"
## [8617] "253517_at" "253518_at"
## [8619] "253519_at" "253520_at"
## [8621] "253521_at" "253522_at"
## [8623] "253523_at" "253524_at"
## [8625] "253525_at" "253526_at"
## [8627] "253527_at" "253528_s_at"
## [8629] "253529_at" "253530_at"
## [8631] "253531_at" "253532_at"
## [8633] "253533_at" "253534_at"
## [8635] "253535_at" "253536_at"
## [8637] "253537_at" "253538_at"
## [8639] "253539_at" "253540_at"
## [8641] "253541_at" "253542_at"
## [8643] "253543_at" "253544_at"
## [8645] "253545_at" "253546_at"
## [8647] "253547_at" "253548_at"
## [8649] "253549_at" "253550_at"
## [8651] "253551_at" "253552_at"
## [8653] "253553_at" "253554_at"
## [8655] "253555_at" "253556_at"
## [8657] "253557_at" "253558_at"
## [8659] "253559_at" "253560_at"
## [8661] "253561_at" "253562_at"
## [8663] "253563_at" "253564_at"
## [8665] "253565_at" "253566_at"
## [8667] "253567_at" "253568_at"
## [8669] "253569_at" "253570_at"
## [8671] "253571_at" "253572_at"
## [8673] "253573_at" "253574_at"
## [8675] "253575_at" "253576_at"
## [8677] "253577_at" "253578_at"
## [8679] "253579_at" "253580_at"
## [8681] "253581_at" "253582_at"
## [8683] "253583_at" "253584_at"
## [8685] "253585_at" "253586_s_at"
## [8687] "253587_at" "253588_at"
## [8689] "253589_at" "253590_at"
## [8691] "253591_at" "253592_at"
## [8693] "253593_at" "253594_at"
## [8695] "253595_at" "253596_s_at"
## [8697] "253597_at" "253598_at"
## [8699] "253599_at" "253600_at"
## [8701] "253601_at" "253602_s_at"
## [8703] "253603_at" "253604_at"
## [8705] "253605_at" "253606_at"
## [8707] "253607_at" "253608_at"
## [8709] "253609_at" "253610_at"
## [8711] "253611_at" "253612_at"
## [8713] "253613_at" "253614_at"
## [8715] "253615_at" "253616_at"
## [8717] "253617_at" "253618_at"
## [8719] "253619_at" "253620_at"
## [8721] "253621_at" "253622_at"
## [8723] "253623_at" "253624_at"
## [8725] "253625_at" "253626_at"
## [8727] "253627_at" "253628_at"
## [8729] "253629_at" "253630_at"
## [8731] "253631_at" "253632_at"
## [8733] "253633_at" "253634_at"
## [8735] "253635_at" "253636_at"
## [8737] "253637_at" "253638_at"
## [8739] "253639_at" "253640_at"
## [8741] "253641_at" "253642_at"
## [8743] "253643_at" "253644_at"
## [8745] "253645_at" "253646_at"
## [8747] "253647_at" "253648_at"
## [8749] "253649_at" "253650_at"
## [8751] "253651_at" "253652_at"
## [8753] "253653_at" "253654_at"
## [8755] "253655_at" "253656_at"
## [8757] "253657_at" "253658_at"
## [8759] "253659_at" "253660_at"
## [8761] "253661_at" "253662_at"
## [8763] "253663_at" "253664_at"
## [8765] "253665_at" "253666_at"
## [8767] "253667_at" "253668_at"
## [8769] "253669_at" "253670_at"
## [8771] "253671_at" "253672_at"
## [8773] "253673_at" "253674_at"
## [8775] "253675_at" "253676_at"
## [8777] "253677_at" "253678_at"
## [8779] "253679_at" "253680_at"
## [8781] "253681_at" "253682_at"
## [8783] "253683_at" "253684_at"
## [8785] "253685_at" "253686_at"
## [8787] "253687_at" "253688_at"
## [8789] "253689_at" "253690_at"
## [8791] "253691_at" "253692_at"
## [8793] "253693_at" "253694_at"
## [8795] "253695_at" "253696_at"
## [8797] "253697_at" "253698_at"
## [8799] "253699_at" "253700_at"
## [8801] "253701_at" "253702_at"
## [8803] "253703_at" "253704_at"
## [8805] "253705_at" "253706_at"
## [8807] "253707_at" "253708_at"
## [8809] "253709_at" "253710_at"
## [8811] "253711_at" "253712_at"
## [8813] "253713_at" "253714_at"
## [8815] "253715_at" "253716_at"
## [8817] "253717_at" "253718_at"
## [8819] "253719_at" "253720_at"
## [8821] "253721_at" "253722_at"
## [8823] "253723_at" "253724_at"
## [8825] "253725_at" "253726_at"
## [8827] "253727_at" "253728_at"
## [8829] "253729_at" "253730_at"
## [8831] "253731_at" "253732_at"
## [8833] "253733_at" "253734_at"
## [8835] "253735_at" "253736_at"
## [8837] "253737_at" "253738_at"
## [8839] "253739_at" "253740_at"
## [8841] "253741_at" "253742_at"
## [8843] "253743_at" "253744_s_at"
## [8845] "253745_at" "253746_at"
## [8847] "253747_at" "253748_at"
## [8849] "253749_at" "253750_at"
## [8851] "253751_at" "253752_at"
## [8853] "253753_at" "253754_at"
## [8855] "253755_at" "253756_at"
## [8857] "253757_at" "253758_at"
## [8859] "253759_at" "253760_at"
## [8861] "253761_at" "253762_at"
## [8863] "253763_at" "253764_s_at"
## [8865] "253765_at" "253766_at"
## [8867] "253767_at" "253768_at"
## [8869] "253769_at" "253770_at"
## [8871] "253771_at" "253772_at"
## [8873] "253773_s_at" "253774_at"
## [8875] "253775_at" "253776_at"
## [8877] "253777_at" "253778_at"
## [8879] "253779_at" "253780_at"
## [8881] "253781_at" "253782_at"
## [8883] "253783_at" "253784_at"
## [8885] "253785_s_at" "253786_at"
## [8887] "253787_at" "253788_at"
## [8889] "253789_at" "253790_at"
## [8891] "253791_at" "253792_at"
## [8893] "253793_at" "253794_at"
## [8895] "253795_at" "253796_at"
## [8897] "253797_at" "253798_at"
## [8899] "253799_at" "253800_at"
## [8901] "253801_at" "253802_at"
## [8903] "253803_at" "253804_at"
## [8905] "253805_at" "253806_at"
## [8907] "253807_at" "253808_at"
## [8909] "253809_at" "253810_at"
## [8911] "253811_at" "253812_at"
## [8913] "253813_at" "253814_at"
## [8915] "253815_at" "253816_at"
## [8917] "253817_at" "253818_at"
## [8919] "253819_at" "253820_at"
## [8921] "253821_at" "253822_at"
## [8923] "253823_at" "253824_at"
## [8925] "253825_at" "253826_s_at"
## [8927] "253827_at" "253828_at"
## [8929] "253829_at" "253830_at"
## [8931] "253831_at" "253832_at"
## [8933] "253833_at" "253834_at"
## [8935] "253835_at" "253836_at"
## [8937] "253837_at" "253838_at"
## [8939] "253839_at" "253840_at"
## [8941] "253841_at" "253842_at"
## [8943] "253843_at" "253844_at"
## [8945] "253845_at" "253846_at"
## [8947] "253847_at" "253848_at"
## [8949] "253849_at" "253850_at"
## [8951] "253851_at" "253852_at"
## [8953] "253853_at" "253854_at"
## [8955] "253855_at" "253856_at"
## [8957] "253857_at" "253858_at"
## [8959] "253859_at" "253860_at"
## [8961] "253861_at" "253862_at"
## [8963] "253863_at" "253864_at"
## [8965] "253865_at" "253866_at"
## [8967] "253867_at" "253868_at"
## [8969] "253869_at" "253870_at"
## [8971] "253871_at" "253872_at"
## [8973] "253873_at" "253874_at"
## [8975] "253875_at" "253876_at"
## [8977] "253877_at" "253878_at"
## [8979] "253879_s_at" "253880_at"
## [8981] "253881_at" "253882_at"
## [8983] "253883_at" "253884_at"
## [8985] "253885_at" "253886_at"
## [8987] "253887_at" "253888_at"
## [8989] "253889_at" "253890_s_at"
## [8991] "253891_at" "253892_at"
## [8993] "253893_at" "253894_at"
## [8995] "253895_at" "253896_at"
## [8997] "253897_at" "253898_s_at"
## [8999] "253899_at" "253900_at"
## [9001] "253901_at" "253902_at"
## [9003] "253903_at" "253904_at"
## [9005] "253905_s_at" "253906_at"
## [9007] "253907_at" "253908_at"
## [9009] "253909_at" "253910_at"
## [9011] "253911_at" "253912_at"
## [9013] "253913_at" "253914_at"
## [9015] "253915_at" "253916_at"
## [9017] "253917_at" "253918_at"
## [9019] "253919_at" "253920_at"
## [9021] "253921_at" "253922_at"
## [9023] "253923_at" "253924_at"
## [9025] "253925_at" "253926_at"
## [9027] "253927_at" "253928_at"
## [9029] "253929_s_at" "253930_at"
## [9031] "253931_at" "253932_at"
## [9033] "253933_at" "253934_at"
## [9035] "253935_at" "253936_at"
## [9037] "253937_at" "253938_at"
## [9039] "253939_at" "253940_at"
## [9041] "253941_at" "253942_at"
## [9043] "253943_at" "253944_at"
## [9045] "253945_at" "253946_at"
## [9047] "253947_at" "253948_at"
## [9049] "253949_at" "253950_at"
## [9051] "253951_at" "253952_at"
## [9053] "253953_at" "253954_at"
## [9055] "253955_at" "253956_at"
## [9057] "253957_at" "253958_at"
## [9059] "253959_at" "253960_at"
## [9061] "253961_at" "253962_at"
## [9063] "253963_at" "253964_at"
## [9065] "253965_at" "253966_at"
## [9067] "253967_at" "253968_at"
## [9069] "253969_at" "253970_at"
## [9071] "253971_at" "253972_at"
## [9073] "253973_at" "253974_at"
## [9075] "253975_at" "253976_at"
## [9077] "253977_at" "253978_at"
## [9079] "253979_at" "253980_at"
## [9081] "253981_at" "253982_at"
## [9083] "253983_at" "253984_at"
## [9085] "253985_at" "253986_at"
## [9087] "253987_at" "253988_at"
## [9089] "253989_at" "253990_at"
## [9091] "253991_at" "253992_at"
## [9093] "253993_at" "253994_at"
## [9095] "253995_at" "253996_at"
## [9097] "253997_at" "253998_at"
## [9099] "253999_at" "254000_at"
## [9101] "254001_at" "254002_at"
## [9103] "254003_at" "254004_at"
## [9105] "254005_at" "254006_at"
## [9107] "254007_s_at" "254008_at"
## [9109] "254009_at" "254010_at"
## [9111] "254011_at" "254012_at"
## [9113] "254013_at" "254014_at"
## [9115] "254015_at" "254016_at"
## [9117] "254017_at" "254018_at"
## [9119] "254019_at" "254020_at"
## [9121] "254021_at" "254022_at"
## [9123] "254023_at" "254024_at"
## [9125] "254025_at" "254026_at"
## [9127] "254027_at" "254028_s_at"
## [9129] "254029_at" "254030_at"
## [9131] "254031_at" "254032_at"
## [9133] "254033_at" "254034_at"
## [9135] "254035_at" "254036_at"
## [9137] "254037_at" "254038_at"
## [9139] "254039_at" "254040_at"
## [9141] "254041_at" "254042_at"
## [9143] "254043_at" "254044_at"
## [9145] "254045_at" "254046_at"
## [9147] "254047_at" "254048_at"
## [9149] "254049_at" "254050_s_at"
## [9151] "254051_at" "254052_at"
## [9153] "254053_s_at" "254054_at"
## [9155] "254055_at" "254056_at"
## [9157] "254057_at" "254058_at"
## [9159] "254059_at" "254060_at"
## [9161] "254061_at" "254062_at"
## [9163] "254063_at" "254064_at"
## [9165] "254065_at" "254066_at"
## [9167] "254067_at" "254068_at"
## [9169] "254069_at" "254070_at"
## [9171] "254071_at" "254072_at"
## [9173] "254073_at" "254074_at"
## [9175] "254075_at" "254076_at"
## [9177] "254077_at" "254078_at"
## [9179] "254079_at" "254080_at"
## [9181] "254081_at" "254082_at"
## [9183] "254083_at" "254084_at"
## [9185] "254085_at" "254086_at"
## [9187] "254087_at" "254088_at"
## [9189] "254089_at" "254090_at"
## [9191] "254091_at" "254092_at"
## [9193] "254093_at" "254094_at"
## [9195] "254095_at" "254096_at"
## [9197] "254097_at" "254098_at"
## [9199] "254099_at" "254100_at"
## [9201] "254101_at" "254102_at"
## [9203] "254103_at" "254104_at"
## [9205] "254105_at" "254106_at"
## [9207] "254107_at" "254108_at"
## [9209] "254109_at" "254110_at"
## [9211] "254111_at" "254112_at"
## [9213] "254113_at" "254114_at"
## [9215] "254115_at" "254116_at"
## [9217] "254117_at" "254118_at"
## [9219] "254119_at" "254120_at"
## [9221] "254121_at" "254122_at"
## [9223] "254123_at" "254124_at"
## [9225] "254125_at" "254126_at"
## [9227] "254127_at" "254128_at"
## [9229] "254129_at" "254130_at"
## [9231] "254131_at" "254132_at"
## [9233] "254133_at" "254134_at"
## [9235] "254135_at" "254136_at"
## [9237] "254137_at" "254138_at"
## [9239] "254139_at" "254140_at"
## [9241] "254141_at" "254142_at"
## [9243] "254143_at" "254144_at"
## [9245] "254145_at" "254146_at"
## [9247] "254147_at" "254148_at"
## [9249] "254149_at" "254150_at"
## [9251] "254151_at" "254152_at"
## [9253] "254153_at" "254154_at"
## [9255] "254155_at" "254156_at"
## [9257] "254157_at" "254158_at"
## [9259] "254159_at" "254160_at"
## [9261] "254161_at" "254162_at"
## [9263] "254163_s_at" "254164_at"
## [9265] "254165_at" "254166_at"
## [9267] "254167_at" "254168_at"
## [9269] "254169_at" "254170_at"
## [9271] "254171_at" "254172_at"
## [9273] "254173_at" "254174_at"
## [9275] "254175_at" "254176_at"
## [9277] "254177_at" "254178_at"
## [9279] "254179_at" "254180_at"
## [9281] "254181_at" "254182_at"
## [9283] "254183_at" "254184_at"
## [9285] "254185_at" "254186_at"
## [9287] "254187_at" "254188_at"
## [9289] "254189_at" "254190_at"
## [9291] "254191_at" "254192_at"
## [9293] "254193_at" "254194_at"
## [9295] "254195_at" "254196_at"
## [9297] "254197_at" "254198_at"
## [9299] "254199_at" "254200_at"
## [9301] "254201_at" "254202_at"
## [9303] "254203_at" "254204_at"
## [9305] "254205_at" "254206_at"
## [9307] "254207_at" "254208_at"
## [9309] "254209_at" "254210_at"
## [9311] "254211_at" "254212_at"
## [9313] "254213_at" "254214_at"
## [9315] "254215_at" "254216_at"
## [9317] "254217_at" "254218_at"
## [9319] "254219_at" "254220_at"
## [9321] "254221_at" "254222_at"
## [9323] "254223_at" "254224_at"
## [9325] "254225_at" "254226_at"
## [9327] "254227_at" "254228_at"
## [9329] "254229_at" "254230_at"
## [9331] "254231_at" "254232_at"
## [9333] "254233_at" "254234_at"
## [9335] "254235_at" "254236_at"
## [9337] "254237_at" "254238_at"
## [9339] "254239_at" "254240_at"
## [9341] "254241_at" "254242_at"
## [9343] "254243_at" "254244_at"
## [9345] "254245_at" "254246_at"
## [9347] "254247_at" "254248_at"
## [9349] "254249_at" "254250_at"
## [9351] "254251_at" "254252_at"
## [9353] "254253_at" "254254_at"
## [9355] "254255_at" "254256_at"
## [9357] "254257_s_at" "254258_at"
## [9359] "254259_s_at" "254260_at"
## [9361] "254261_at" "254262_at"
## [9363] "254263_at" "254264_at"
## [9365] "254265_s_at" "254266_at"
## [9367] "254267_at" "254268_at"
## [9369] "254269_at" "254270_at"
## [9371] "254271_at" "254272_at"
## [9373] "254273_at" "254274_at"
## [9375] "254275_at" "254276_at"
## [9377] "254277_at" "254278_at"
## [9379] "254279_at" "254280_at"
## [9381] "254281_at" "254282_at"
## [9383] "254283_s_at" "254284_at"
## [9385] "254285_at" "254286_at"
## [9387] "254287_at" "254288_at"
## [9389] "254289_at" "254290_at"
## [9391] "254291_at" "254292_at"
## [9393] "254293_at" "254294_at"
## [9395] "254295_at" "254296_at"
## [9397] "254297_at" "254298_at"
## [9399] "254299_at" "254300_at"
## [9401] "254301_at" "254302_at"
## [9403] "254303_at" "254304_at"
## [9405] "254305_at" "254306_at"
## [9407] "254307_at" "254308_at"
## [9409] "254309_s_at" "254310_at"
## [9411] "254311_at" "254312_s_at"
## [9413] "254313_at" "254314_at"
## [9415] "254315_at" "254316_at"
## [9417] "254317_at" "254318_at"
## [9419] "254319_at" "254320_at"
## [9421] "254321_at" "254322_at"
## [9423] "254323_at" "254324_at"
## [9425] "254325_at" "254326_at"
## [9427] "254327_at" "254328_at"
## [9429] "254329_at" "254330_at"
## [9431] "254331_s_at" "254332_at"
## [9433] "254333_at" "254334_at"
## [9435] "254335_at" "254336_at"
## [9437] "254337_at" "254338_s_at"
## [9439] "254339_at" "254340_at"
## [9441] "254341_at" "254342_at"
## [9443] "254343_at" "254344_at"
## [9445] "254345_at" "254346_at"
## [9447] "254347_at" "254348_at"
## [9449] "254349_at" "254350_at"
## [9451] "254351_at" "254352_at"
## [9453] "254353_s_at" "254354_at"
## [9455] "254355_at" "254356_at"
## [9457] "254357_at" "254358_at"
## [9459] "254359_at" "254360_at"
## [9461] "254361_at" "254362_at"
## [9463] "254363_at" "254364_at"
## [9465] "254365_at" "254366_s_at"
## [9467] "254367_at" "254368_at"
## [9469] "254369_at" "254370_at"
## [9471] "254371_at" "254372_at"
## [9473] "254373_at" "254374_at"
## [9475] "254375_at" "254376_at"
## [9477] "254377_at" "254378_at"
## [9479] "254379_at" "254380_at"
## [9481] "254381_at" "254382_at"
## [9483] "254383_at" "254384_at"
## [9485] "254385_s_at" "254386_at"
## [9487] "254387_at" "254388_at"
## [9489] "254389_s_at" "254390_at"
## [9491] "254391_at" "254392_at"
## [9493] "254393_at" "254394_at"
## [9495] "254395_at" "254396_at"
## [9497] "254397_at" "254398_at"
## [9499] "254399_at" "254400_at"
## [9501] "254401_at" "254402_at"
## [9503] "254403_at" "254404_at"
## [9505] "254405_at" "254406_at"
## [9507] "254407_at" "254408_at"
## [9509] "254409_at" "254410_at"
## [9511] "254411_at" "254412_at"
## [9513] "254413_at" "254414_at"
## [9515] "254415_at" "254416_at"
## [9517] "254417_at" "254418_at"
## [9519] "254419_at" "254420_at"
## [9521] "254421_at" "254422_at"
## [9523] "254423_at" "254424_at"
## [9525] "254425_at" "254426_at"
## [9527] "254427_at" "254428_at"
## [9529] "254429_at" "254430_at"
## [9531] "254431_at" "254432_at"
## [9533] "254433_at" "254434_at"
## [9535] "254435_at" "254436_at"
## [9537] "254437_s_at" "254438_at"
## [9539] "254439_s_at" "254440_at"
## [9541] "254441_at" "254442_at"
## [9543] "254443_at" "254444_at"
## [9545] "254445_at" "254446_at"
## [9547] "254447_at" "254448_at"
## [9549] "254449_at" "254450_at"
## [9551] "254451_at" "254452_at"
## [9553] "254453_at" "254454_at"
## [9555] "254455_at" "254456_at"
## [9557] "254457_at" "254458_at"
## [9559] "254459_at" "254460_at"
## [9561] "254461_at" "254462_at"
## [9563] "254463_at" "254464_at"
## [9565] "254465_at" "254466_at"
## [9567] "254467_at" "254468_at"
## [9569] "254469_at" "254470_at"
## [9571] "254471_s_at" "254472_at"
## [9573] "254473_s_at" "254474_at"
## [9575] "254475_at" "254476_at"
## [9577] "254477_at" "254478_at"
## [9579] "254479_at" "254480_at"
## [9581] "254481_at" "254482_at"
## [9583] "254483_at" "254484_at"
## [9585] "254485_at" "254486_at"
## [9587] "254487_at" "254488_at"
## [9589] "254489_at" "254490_at"
## [9591] "254491_at" "254492_at"
## [9593] "254493_at" "254494_at"
## [9595] "254495_at" "254496_at"
## [9597] "254497_at" "254498_at"
## [9599] "254499_at" "254500_at"
## [9601] "254501_at" "254502_at"
## [9603] "254503_at" "254504_at"
## [9605] "254505_at" "254506_at"
## [9607] "254507_at" "254508_at"
## [9609] "254509_at" "254510_at"
## [9611] "254511_at" "254512_at"
## [9613] "254513_at" "254514_at"
## [9615] "254515_at" "254516_at"
## [9617] "254517_at" "254518_at"
## [9619] "254519_at" "254520_at"
## [9621] "254521_at" "254522_at"
## [9623] "254523_at" "254524_at"
## [9625] "254525_at" "254526_at"
## [9627] "254527_at" "254528_at"
## [9629] "254529_at" "254530_at"
## [9631] "254531_at" "254532_at"
## [9633] "254533_at" "254534_at"
## [9635] "254535_at" "254536_at"
## [9637] "254537_at" "254538_at"
## [9639] "254539_s_at" "254540_s_at"
## [9641] "254541_at" "254542_s_at"
## [9643] "254543_at" "254544_at"
## [9645] "254545_at" "254546_at"
## [9647] "254547_at" "254548_at"
## [9649] "254549_at" "254550_at"
## [9651] "254551_at" "254552_at"
## [9653] "254553_at" "254554_at"
## [9655] "254555_at" "254556_at"
## [9657] "254557_at" "254558_at"
## [9659] "254559_at" "254560_at"
## [9661] "254561_at" "254562_at"
## [9663] "254563_at" "254564_at"
## [9665] "254565_at" "254566_at"
## [9667] "254567_s_at" "254568_x_at"
## [9669] "254569_s_at" "254570_s_at"
## [9671] "254571_at" "254572_at"
## [9673] "254573_at" "254574_at"
## [9675] "254575_at" "254576_at"
## [9677] "254577_at" "254578_at"
## [9679] "254579_at" "254580_at"
## [9681] "254581_at" "254582_at"
## [9683] "254583_at" "254584_at"
## [9685] "254585_at" "254586_at"
## [9687] "254587_at" "254588_at"
## [9689] "254589_at" "254590_at"
## [9691] "254591_at" "254592_at"
## [9693] "254593_s_at" "254594_at"
## [9695] "254595_at" "254596_at"
## [9697] "254597_at" "254598_at"
## [9699] "254599_at" "254600_at"
## [9701] "254601_at" "254602_at"
## [9703] "254603_at" "254604_at"
## [9705] "254605_at" "254606_at"
## [9707] "254607_at" "254608_at"
## [9709] "254609_at" "254610_at"
## [9711] "254611_at" "254612_at"
## [9713] "254613_at" "254614_at"
## [9715] "254615_at" "254616_at"
## [9717] "254617_s_at" "254618_at"
## [9719] "254619_at" "254620_at"
## [9721] "254621_at" "254622_at"
## [9723] "254623_at" "254624_at"
## [9725] "254625_at" "254626_at"
## [9727] "254627_at" "254628_at"
## [9729] "254629_at" "254630_at"
## [9731] "254631_at" "254632_at"
## [9733] "254633_at" "254634_at"
## [9735] "254635_at" "254636_at"
## [9737] "254637_at" "254638_at"
## [9739] "254639_at" "254640_at"
## [9741] "254641_at" "254642_at"
## [9743] "254643_at" "254644_at"
## [9745] "254645_at" "254646_at"
## [9747] "254647_at" "254648_at"
## [9749] "254649_at" "254650_at"
## [9751] "254651_at" "254652_at"
## [9753] "254653_at" "254654_at"
## [9755] "254655_s_at" "254656_at"
## [9757] "254657_s_at" "254658_at"
## [9759] "254659_at" "254660_at"
## [9761] "254661_at" "254662_at"
## [9763] "254663_at" "254664_at"
## [9765] "254665_at" "254666_at"
## [9767] "254667_at" "254668_at"
## [9769] "254669_at" "254670_at"
## [9771] "254671_at" "254672_at"
## [9773] "254673_at" "254674_at"
## [9775] "254675_at" "254676_at"
## [9777] "254677_at" "254678_at"
## [9779] "254679_at" "254680_at"
## [9781] "254681_at" "254682_at"
## [9783] "254683_at" "254684_at"
## [9785] "254685_at" "254686_at"
## [9787] "254687_at" "254688_at"
## [9789] "254689_at" "254690_at"
## [9791] "254691_at" "254692_at"
## [9793] "254693_at" "254694_at"
## [9795] "254695_at" "254696_at"
## [9797] "254697_at" "254698_at"
## [9799] "254699_at" "254700_at"
## [9801] "254701_at" "254702_at"
## [9803] "254703_at" "254704_at"
## [9805] "254705_at" "254706_at"
## [9807] "254707_at" "254708_at"
## [9809] "254709_at" "254710_at"
## [9811] "254711_at" "254712_at"
## [9813] "254713_at" "254714_at"
## [9815] "254715_at" "254716_at"
## [9817] "254717_at" "254718_at"
## [9819] "254719_at" "254720_at"
## [9821] "254721_at" "254722_at"
## [9823] "254723_at" "254724_at"
## [9825] "254725_at" "254726_at"
## [9827] "254727_at" "254728_at"
## [9829] "254729_at" "254730_at"
## [9831] "254731_at" "254732_at"
## [9833] "254733_at" "254734_at"
## [9835] "254735_at" "254736_at"
## [9837] "254737_at" "254738_at"
## [9839] "254739_at" "254740_s_at"
## [9841] "254741_s_at" "254742_at"
## [9843] "254743_at" "254744_at"
## [9845] "254745_at" "254746_at"
## [9847] "254747_at" "254748_at"
## [9849] "254749_at" "254750_at"
## [9851] "254751_at" "254752_at"
## [9853] "254753_at" "254754_at"
## [9855] "254755_at" "254756_at"
## [9857] "254757_at" "254758_at"
## [9859] "254759_at" "254760_at"
## [9861] "254761_at" "254762_at"
## [9863] "254763_at" "254764_at"
## [9865] "254765_at" "254766_at"
## [9867] "254767_s_at" "254768_at"
## [9869] "254769_at" "254770_at"
## [9871] "254771_at" "254772_at"
## [9873] "254773_at" "254774_at"
## [9875] "254775_at" "254776_at"
## [9877] "254777_at" "254778_at"
## [9879] "254779_at" "254780_s_at"
## [9881] "254781_at" "254782_at"
## [9883] "254783_at" "254784_at"
## [9885] "254785_at" "254786_at"
## [9887] "254787_at" "254788_at"
## [9889] "254789_at" "254790_at"
## [9891] "254791_at" "254792_at"
## [9893] "254793_at" "254794_at"
## [9895] "254795_at" "254796_at"
## [9897] "254797_at" "254798_at"
## [9899] "254799_at" "254800_at"
## [9901] "254801_at" "254802_at"
## [9903] "254803_at" "254804_at"
## [9905] "254805_at" "254806_at"
## [9907] "254807_at" "254808_at"
## [9909] "254809_at" "254810_at"
## [9911] "254811_at" "254812_at"
## [9913] "254813_at" "254814_at"
## [9915] "254815_at" "254816_at"
## [9917] "254817_at" "254818_at"
## [9919] "254819_at" "254820_s_at"
## [9921] "254821_at" "254822_at"
## [9923] "254823_at" "254824_s_at"
## [9925] "254825_at" "254826_at"
## [9927] "254827_at" "254828_at"
## [9929] "254829_at" "254830_at"
## [9931] "254831_at" "254832_at"
## [9933] "254833_s_at" "254834_at"
## [9935] "254835_s_at" "254836_at"
## [9937] "254837_at" "254838_at"
## [9939] "254839_at" "254840_at"
## [9941] "254841_at" "254842_at"
## [9943] "254843_at" "254844_at"
## [9945] "254845_at" "254846_at"
## [9947] "254847_at" "254848_at"
## [9949] "254849_at" "254850_at"
## [9951] "254851_at" "254852_at"
## [9953] "254853_at" "254854_at"
## [9955] "254855_s_at" "254856_at"
## [9957] "254857_at" "254858_at"
## [9959] "254859_at" "254860_at"
## [9961] "254861_at" "254862_at"
## [9963] "254863_at" "254864_at"
## [9965] "254865_s_at" "254866_at"
## [9967] "254867_at" "254868_at"
## [9969] "254869_at" "254870_at"
## [9971] "254871_at" "254872_at"
## [9973] "254873_at" "254874_at"
## [9975] "254875_at" "254876_at"
## [9977] "254877_at" "254878_at"
## [9979] "254879_at" "254880_at"
## [9981] "254881_at" "254882_s_at"
## [9983] "254883_at" "254884_at"
## [9985] "254885_at" "254886_at"
## [9987] "254887_at" "254888_at"
## [9989] "254889_at" "254890_at"
## [9991] "254891_at" "254892_at"
## [9993] "254893_at" "254894_at"
## [9995] "254895_at" "254896_at"
## [9997] "254897_at" "254898_at"
## [9999] "254899_at" "254900_at"
## [10001] "254901_at" "254902_at"
## [10003] "254903_at" "254904_at"
## [10005] "254905_at" "254906_at"
## [10007] "254907_at" "254908_at"
## [10009] "254909_at" "254910_at"
## [10011] "254911_at" "254912_at"
## [10013] "254913_at" "254914_at"
## [10015] "254915_s_at" "254916_at"
## [10017] "254917_at" "254918_at"
## [10019] "254919_at" "254920_at"
## [10021] "254921_at" "254922_at"
## [10023] "254923_at" "254924_at"
## [10025] "254925_at" "254926_at"
## [10027] "254927_at" "254928_at"
## [10029] "254929_at" "254930_at"
## [10031] "254931_at" "254932_at"
## [10033] "254933_at" "254934_at"
## [10035] "254935_at" "254936_at"
## [10037] "254937_at" "254938_at"
## [10039] "254939_at" "254940_at"
## [10041] "254941_s_at" "254942_at"
## [10043] "254943_at" "254944_at"
## [10045] "254945_at" "254946_at"
## [10047] "254947_at" "254948_at"
## [10049] "254949_at" "254950_at"
## [10051] "254951_at" "254952_at"
## [10053] "254953_at" "254954_at"
## [10055] "254955_at" "254956_at"
## [10057] "254957_at" "254958_at"
## [10059] "254959_at" "254960_at"
## [10061] "254961_at" "254962_at"
## [10063] "254963_at" "254964_at"
## [10065] "254965_at" "254966_at"
## [10067] "254967_at" "254968_at"
## [10069] "254969_at" "254970_at"
## [10071] "254971_at" "254972_at"
## [10073] "254973_at" "254974_at"
## [10075] "254975_at" "254976_at"
## [10077] "254977_s_at" "254978_at"
## [10079] "254979_at" "254980_at"
## [10081] "254981_at" "254982_at"
## [10083] "254983_at" "254984_s_at"
## [10085] "254985_x_at" "254986_at"
## [10087] "254987_s_at" "254988_at"
## [10089] "254989_at" "254990_at"
## [10091] "254991_at" "254992_at"
## [10093] "254993_at" "254994_at"
## [10095] "254995_at" "254996_at"
## [10097] "254997_s_at" "254998_at"
## [10099] "254999_at" "255000_at"
## [10101] "255001_at" "255002_at"
## [10103] "255003_at" "255004_at"
## [10105] "255005_at" "255006_at"
## [10107] "255007_at" "255008_at"
## [10109] "255009_at" "255010_at"
## [10111] "255011_at" "255012_at"
## [10113] "255013_at" "255014_at"
## [10115] "255015_at" "255016_at"
## [10117] "255017_at" "255018_at"
## [10119] "255019_at" "255020_at"
## [10121] "255021_at" "255022_at"
## [10123] "255023_at" "255024_at"
## [10125] "255025_at" "255026_at"
## [10127] "255027_at" "255028_at"
## [10129] "255029_x_at" "255030_at"
## [10131] "255031_at" "255032_at"
## [10133] "255033_at" "255034_at"
## [10135] "255035_at" "255036_at"
## [10137] "255037_at" "255038_at"
## [10139] "255039_at" "255040_at"
## [10141] "255041_at" "255042_at"
## [10143] "255043_at" "255044_at"
## [10145] "255045_at" "255046_at"
## [10147] "255047_at" "255048_at"
## [10149] "255049_at" "255050_at"
## [10151] "255051_at" "255052_at"
## [10153] "255053_at" "255054_s_at"
## [10155] "255055_at" "255056_at"
## [10157] "255057_at" "255058_s_at"
## [10159] "255059_at" "255060_at"
## [10161] "255061_at" "255062_at"
## [10163] "255063_at" "255064_at"
## [10165] "255065_s_at" "255066_at"
## [10167] "255067_at" "255068_at"
## [10169] "255069_s_at" "255070_at"
## [10171] "255071_at" "255072_at"
## [10173] "255073_at" "255074_at"
## [10175] "255075_at" "255076_at"
## [10177] "255077_at" "255078_at"
## [10179] "255079_s_at" "255080_at"
## [10181] "255081_at" "255082_at"
## [10183] "255083_s_at" "255084_s_at"
## [10185] "255085_at" "255086_at"
## [10187] "255087_at" "255088_at"
## [10189] "255089_at" "255090_at"
## [10191] "255091_at" "255092_s_at"
## [10193] "255093_s_at" "255094_at"
## [10195] "255095_at" "255096_at"
## [10197] "255097_at" "255098_at"
## [10199] "255099_at" "255100_at"
## [10201] "255101_at" "255102_s_at"
## [10203] "255103_at" "255104_at"
## [10205] "255105_at" "255106_at"
## [10207] "255107_at" "255108_at"
## [10209] "255109_s_at" "255110_at"
## [10211] "255111_at" "255112_at"
## [10213] "255113_at" "255114_at"
## [10215] "255115_at" "255116_at"
## [10217] "255117_s_at" "255118_at"
## [10219] "255119_at" "255120_x_at"
## [10221] "255121_at" "255122_at"
## [10223] "255123_at" "255124_at"
## [10225] "255125_at" "255126_at"
## [10227] "255127_at" "255128_at"
## [10229] "255129_at" "255130_at"
## [10231] "255131_at" "255132_at"
## [10233] "255133_at" "255134_at"
## [10235] "255135_at" "255136_s_at"
## [10237] "255137_at" "255138_at"
## [10239] "255139_s_at" "255140_x_at"
## [10241] "255141_at" "255142_at"
## [10243] "255143_at" "255144_at"
## [10245] "255145_at" "255146_at"
## [10247] "255147_at" "255148_at"
## [10249] "255149_at" "255150_at"
## [10251] "255151_at" "255152_at"
## [10253] "255153_at" "255154_at"
## [10255] "255155_at" "255156_at"
## [10257] "255157_at" "255158_s_at"
## [10259] "255159_at" "255160_at"
## [10261] "255161_at" "255162_at"
## [10263] "255163_at" "255164_at"
## [10265] "255165_at" "255166_at"
## [10267] "255167_at" "255168_at"
## [10269] "255169_x_at" "255170_at"
## [10271] "255171_at" "255172_x_at"
## [10273] "255173_at" "255174_at"
## [10275] "255175_at" "255176_s_at"
## [10277] "255177_at" "255178_at"
## [10279] "255179_at" "255180_at"
## [10281] "255181_at" "255182_at"
## [10283] "255183_at" "255184_at"
## [10285] "255185_at" "255186_at"
## [10287] "255187_s_at" "255188_at"
## [10289] "255189_at" "255190_x_at"
## [10291] "255191_at" "255192_at"
## [10293] "255193_at" "255194_at"
## [10295] "255195_at" "255196_x_at"
## [10297] "255197_x_at" "255198_at"
## [10299] "255199_at" "255200_at"
## [10301] "255201_at" "255202_at"
## [10303] "255203_at" "255204_at"
## [10305] "255205_at" "255206_at"
## [10307] "255207_at" "255208_at"
## [10309] "255209_at" "255210_at"
## [10311] "255211_at" "255212_at"
## [10313] "255213_at" "255214_at"
## [10315] "255215_at" "255216_s_at"
## [10317] "255217_s_at" "255218_at"
## [10319] "255219_at" "255220_at"
## [10321] "255221_at" "255222_at"
## [10323] "255223_at" "255224_at"
## [10325] "255225_at" "255226_at"
## [10327] "255227_at" "255228_at"
## [10329] "255229_at" "255230_at"
## [10331] "255231_at" "255232_at"
## [10333] "255233_at" "255234_at"
## [10335] "255235_at" "255236_at"
## [10337] "255237_at" "255238_at"
## [10339] "255239_at" "255240_at"
## [10341] "255241_at" "255242_at"
## [10343] "255243_at" "255244_at"
## [10345] "255245_at" "255246_at"
## [10347] "255247_at" "255248_at"
## [10349] "255249_at" "255250_at"
## [10351] "255251_at" "255252_at"
## [10353] "255253_at" "255254_at"
## [10355] "255255_at" "255256_at"
## [10357] "255257_at" "255258_at"
## [10359] "255259_at" "255260_at"
## [10361] "255261_s_at" "255262_at"
## [10363] "255263_at" "255264_at"
## [10365] "255265_at" "255266_at"
## [10367] "255267_at" "255268_at"
## [10369] "255269_at" "255270_at"
## [10371] "255271_at" "255272_at"
## [10373] "255273_at" "255274_at"
## [10375] "255275_at" "255276_at"
## [10377] "255277_at" "255278_at"
## [10379] "255279_at" "255280_at"
## [10381] "255281_at" "255282_at"
## [10383] "255283_at" "255284_at"
## [10385] "255285_at" "255286_at"
## [10387] "255287_at" "255288_at"
## [10389] "255289_at" "255290_at"
## [10391] "255291_at" "255292_s_at"
## [10393] "255293_at" "255294_at"
## [10395] "255295_at" "255296_at"
## [10397] "255297_x_at" "255298_at"
## [10399] "255299_at" "255300_at"
## [10401] "255301_at" "255302_at"
## [10403] "255303_at" "255304_at"
## [10405] "255305_at" "255306_at"
## [10407] "255307_at" "255308_at"
## [10409] "255309_at" "255310_at"
## [10411] "255311_at" "255312_at"
## [10413] "255313_at" "255314_at"
## [10415] "255315_at" "255316_at"
## [10417] "255317_at" "255318_at"
## [10419] "255319_at" "255320_at"
## [10421] "255321_at" "255322_at"
## [10423] "255323_at" "255324_s_at"
## [10425] "255325_at" "255326_at"
## [10427] "255327_at" "255328_at"
## [10429] "255329_at" "255330_s_at"
## [10431] "255331_at" "255332_at"
## [10433] "255333_at" "255334_at"
## [10435] "255335_at" "255336_at"
## [10437] "255337_at" "255338_at"
## [10439] "255339_at" "255340_at"
## [10441] "255341_at" "255342_at"
## [10443] "255343_at" "255344_s_at"
## [10445] "255345_at" "255346_at"
## [10447] "255347_at" "255348_at"
## [10449] "255349_at" "255350_at"
## [10451] "255351_x_at" "255352_at"
## [10453] "255353_at" "255354_at"
## [10455] "255355_at" "255356_x_at"
## [10457] "255357_at" "255358_at"
## [10459] "255359_at" "255360_at"
## [10461] "255361_at" "255362_at"
## [10463] "255363_x_at" "255364_s_at"
## [10465] "255365_at" "255366_x_at"
## [10467] "255367_at" "255368_at"
## [10469] "255369_at" "255370_at"
## [10471] "255371_at" "255372_at"
## [10473] "255373_s_at" "255374_at"
## [10475] "255375_at" "255376_x_at"
## [10477] "255377_at" "255378_at"
## [10479] "255379_at" "255380_at"
## [10481] "255381_at" "255382_at"
## [10483] "255383_at" "255384_at"
## [10485] "255385_at" "255386_at"
## [10487] "255387_at" "255388_at"
## [10489] "255389_at" "255390_at"
## [10491] "255391_at" "255392_at"
## [10493] "255393_at" "255394_at"
## [10495] "255395_at" "255396_at"
## [10497] "255397_at" "255398_at"
## [10499] "255399_at" "255400_at"
## [10501] "255401_at" "255402_at"
## [10503] "255403_at" "255404_at"
## [10505] "255405_s_at" "255406_at"
## [10507] "255407_at" "255408_at"
## [10509] "255409_at" "255410_at"
## [10511] "255411_at" "255412_at"
## [10513] "255413_at" "255414_at"
## [10515] "255415_at" "255416_at"
## [10517] "255417_at" "255418_at"
## [10519] "255419_at" "255420_at"
## [10521] "255421_at" "255422_at"
## [10523] "255423_at" "255424_at"
## [10525] "255425_s_at" "255426_at"
## [10527] "255427_at" "255428_at"
## [10529] "255429_at" "255430_at"
## [10531] "255431_at" "255432_at"
## [10533] "255433_at" "255434_at"
## [10535] "255435_at" "255436_at"
## [10537] "255437_at" "255438_at"
## [10539] "255439_at" "255440_at"
## [10541] "255441_at" "255442_at"
## [10543] "255443_at" "255444_at"
## [10545] "255445_at" "255446_at"
## [10547] "255447_at" "255448_at"
## [10549] "255449_at" "255450_at"
## [10551] "255451_at" "255452_at"
## [10553] "255453_at" "255454_at"
## [10555] "255455_at" "255456_at"
## [10557] "255457_at" "255458_at"
## [10559] "255459_at" "255460_at"
## [10561] "255461_at" "255462_at"
## [10563] "255463_at" "255464_s_at"
## [10565] "255465_at" "255466_at"
## [10567] "255467_at" "255468_at"
## [10569] "255469_at" "255470_at"
## [10571] "255471_at" "255472_at"
## [10573] "255473_at" "255474_at"
## [10575] "255475_at" "255476_at"
## [10577] "255477_at" "255478_at"
## [10579] "255479_at" "255480_at"
## [10581] "255481_at" "255482_at"
## [10583] "255483_at" "255484_at"
## [10585] "255485_at" "255486_at"
## [10587] "255487_at" "255488_at"
## [10589] "255489_at" "255490_at"
## [10591] "255491_at" "255492_at"
## [10593] "255493_at" "255494_at"
## [10595] "255495_at" "255496_at"
## [10597] "255497_at" "255498_at"
## [10599] "255499_at" "255500_at"
## [10601] "255501_at" "255502_at"
## [10603] "255503_at" "255504_at"
## [10605] "255505_at" "255506_at"
## [10607] "255507_at" "255508_at"
## [10609] "255509_at" "255510_at"
## [10611] "255511_at" "255512_at"
## [10613] "255513_at" "255514_s_at"
## [10615] "255515_at" "255516_at"
## [10617] "255517_at" "255518_at"
## [10619] "255519_at" "255520_at"
## [10621] "255521_at" "255522_at"
## [10623] "255523_at" "255524_at"
## [10625] "255525_at" "255526_at"
## [10627] "255527_at" "255528_at"
## [10629] "255529_at" "255530_at"
## [10631] "255531_at" "255532_at"
## [10633] "255533_at" "255534_at"
## [10635] "255535_at" "255536_at"
## [10637] "255537_at" "255538_at"
## [10639] "255539_at" "255540_at"
## [10641] "255541_s_at" "255542_at"
## [10643] "255543_at" "255544_at"
## [10645] "255545_at" "255546_at"
## [10647] "255547_at" "255548_at"
## [10649] "255549_at" "255550_at"
## [10651] "255551_at" "255552_at"
## [10653] "255553_at" "255554_at"
## [10655] "255555_at" "255556_at"
## [10657] "255557_at" "255558_at"
## [10659] "255559_at" "255560_at"
## [10661] "255561_at" "255562_at"
## [10663] "255563_at" "255564_s_at"
## [10665] "255565_at" "255566_s_at"
## [10667] "255567_at" "255568_at"
## [10669] "255569_at" "255570_at"
## [10671] "255571_at" "255572_at"
## [10673] "255573_at" "255574_at"
## [10675] "255575_at" "255576_at"
## [10677] "255577_at" "255578_at"
## [10679] "255579_at" "255580_at"
## [10681] "255581_at" "255582_at"
## [10683] "255583_at" "255584_at"
## [10685] "255585_at" "255586_at"
## [10687] "255587_at" "255588_at"
## [10689] "255589_s_at" "255590_at"
## [10691] "255591_at" "255592_s_at"
## [10693] "255593_at" "255594_at"
## [10695] "255595_at" "255596_at"
## [10697] "255597_at" "255598_at"
## [10699] "255599_at" "255600_s_at"
## [10701] "255601_at" "255602_at"
## [10703] "255603_at" "255604_at"
## [10705] "255605_at" "255606_at"
## [10707] "255607_at" "255608_at"
## [10709] "255609_s_at" "255610_at"
## [10711] "255611_at" "255612_at"
## [10713] "255613_at" "255614_at"
## [10715] "255615_at" "255616_at"
## [10717] "255617_at" "255618_at"
## [10719] "255619_s_at" "255620_at"
## [10721] "255621_at" "255622_at"
## [10723] "255623_at" "255624_at"
## [10725] "255625_at" "255626_at"
## [10727] "255627_at" "255628_at"
## [10729] "255629_at" "255630_at"
## [10731] "255631_at" "255632_at"
## [10733] "255633_at" "255634_at"
## [10735] "255635_at" "255636_at"
## [10737] "255637_at" "255638_at"
## [10739] "255639_at" "255640_at"
## [10741] "255641_at" "255642_at"
## [10743] "255643_at" "255644_at"
## [10745] "255645_at" "255646_at"
## [10747] "255647_at" "255648_at"
## [10749] "255649_at" "255650_s_at"
## [10751] "255651_at" "255652_at"
## [10753] "255653_at" "255654_at"
## [10755] "255655_at" "255656_at"
## [10757] "255657_at" "255658_at"
## [10759] "255659_at" "255660_at"
## [10761] "255661_at" "255662_at"
## [10763] "255663_at" "255664_at"
## [10765] "255665_at" "255666_at"
## [10767] "255667_at" "255668_s_at"
## [10769] "255669_at" "255670_at"
## [10771] "255671_at" "255672_at"
## [10773] "255673_at" "255674_at"
## [10775] "255675_at" "255676_at"
## [10777] "255677_at" "255678_at"
## [10779] "255679_at" "255680_at"
## [10781] "255681_at" "255682_at"
## [10783] "255683_at" "255684_at"
## [10785] "255685_s_at" "255686_at"
## [10787] "255687_at" "255688_at"
## [10789] "255689_at" "255690_at"
## [10791] "255691_at" "255692_at"
## [10793] "255693_s_at" "255694_at"
## [10795] "255695_at" "255696_at"
## [10797] "255697_at" "255698_at"
## [10799] "255699_at" "255700_at"
## [10801] "255701_at" "255702_at"
## [10803] "255703_at" "255704_at"
## [10805] "255705_at" "255706_at"
## [10807] "255707_at" "255708_at"
## [10809] "255709_at" "255710_at"
## [10811] "255711_at" "255712_at"
## [10813] "255713_s_at" "255714_at"
## [10815] "255715_s_at" "255716_at"
## [10817] "255717_at" "255718_at"
## [10819] "255719_at" "255720_at"
## [10821] "255721_at" "255722_at"
## [10823] "255723_at" "255724_at"
## [10825] "255725_at" "255726_at"
## [10827] "255727_at" "255728_at"
## [10829] "255729_at" "255730_at"
## [10831] "255731_at" "255732_at"
## [10833] "255733_at" "255734_at"
## [10835] "255735_at" "255736_at"
## [10837] "255737_at" "255738_at"
## [10839] "255739_at" "255740_at"
## [10841] "255741_at" "255742_at"
## [10843] "255743_at" "255744_at"
## [10845] "255745_at" "255746_at"
## [10847] "255747_s_at" "255748_at"
## [10849] "255749_at" "255750_at"
## [10851] "255751_at" "255752_at"
## [10853] "255753_at" "255754_at"
## [10855] "255755_s_at" "255756_at"
## [10857] "255757_at" "255758_at"
## [10859] "255759_at" "255760_at"
## [10861] "255761_at" "255762_at"
## [10863] "255763_at" "255764_at"
## [10865] "255765_at" "255766_at"
## [10867] "255767_at" "255768_at"
## [10869] "255769_at" "255770_at"
## [10871] "255771_at" "255772_at"
## [10873] "255773_at" "255774_at"
## [10875] "255775_at" "255776_at"
## [10877] "255777_at" "255778_at"
## [10879] "255779_at" "255780_at"
## [10881] "255781_at" "255782_at"
## [10883] "255783_at" "255784_at"
## [10885] "255785_at" "255786_at"
## [10887] "255787_at" "255788_at"
## [10889] "255789_at" "255790_at"
## [10891] "255791_at" "255792_at"
## [10893] "255793_at" "255794_at"
## [10895] "255795_at" "255796_at"
## [10897] "255797_at" "255798_at"
## [10899] "255799_at" "255800_at"
## [10901] "255801_at" "255802_s_at"
## [10903] "255803_at" "255804_at"
## [10905] "255805_at" "255806_at"
## [10907] "255807_at" "255808_at"
## [10909] "255809_at" "255810_at"
## [10911] "255811_at" "255812_at"
## [10913] "255813_at" "255814_at"
## [10915] "255815_at" "255816_at"
## [10917] "255817_at" "255818_at"
## [10919] "255819_s_at" "255820_at"
## [10921] "255821_at" "255822_at"
## [10923] "255823_at" "255824_at"
## [10925] "255825_at" "255826_at"
## [10927] "255827_at" "255828_at"
## [10929] "255829_at" "255830_at"
## [10931] "255831_at" "255832_at"
## [10933] "255833_at" "255834_at"
## [10935] "255835_at" "255836_at"
## [10937] "255837_at" "255838_at"
## [10939] "255839_at" "255840_at"
## [10941] "255841_at" "255842_at"
## [10943] "255843_at" "255844_at"
## [10945] "255845_at" "255846_at"
## [10947] "255847_at" "255848_at"
## [10949] "255849_at" "255850_at"
## [10951] "255851_at" "255852_at"
## [10953] "255853_at" "255854_at"
## [10955] "255855_at" "255856_at"
## [10957] "255857_at" "255858_at"
## [10959] "255859_at" "255860_at"
## [10961] "255861_at" "255862_at"
## [10963] "255863_s_at" "255864_at"
## [10965] "255865_at" "255866_at"
## [10967] "255867_at" "255868_at"
## [10969] "255869_at" "255870_at"
## [10971] "255871_at" "255872_at"
## [10973] "255873_at" "255874_at"
## [10975] "255875_s_at" "255876_at"
## [10977] "255877_at" "255878_at"
## [10979] "255879_at" "255880_at"
## [10981] "255881_at" "255882_x_at"
## [10983] "255883_at" "255884_at"
## [10985] "255885_at" "255886_at"
## [10987] "255887_at" "255888_at"
## [10989] "255889_at" "255890_at"
## [10991] "255891_at" "255892_at"
## [10993] "255893_at" "255894_at"
## [10995] "255895_at" "255896_at"
## [10997] "255897_at" "255898_at"
## [10999] "255899_at" "255900_at"
## [11001] "255901_at" "255902_at"
## [11003] "255903_at" "255904_at"
## [11005] "255905_at" "255906_at"
## [11007] "255907_at" "255908_s_at"
## [11009] "255909_at" "255910_at"
## [11011] "255911_at" "255912_at"
## [11013] "255913_at" "255914_at"
## [11015] "255915_at" "255916_at"
## [11017] "255917_at" "255918_at"
## [11019] "255919_at" "255920_at"
## [11021] "255921_at" "255922_at"
## [11023] "255923_at" "255924_at"
## [11025] "255925_at" "255926_at"
## [11027] "255927_at" "255928_at"
## [11029] "255929_at" "255930_at"
## [11031] "255931_at" "255932_at"
## [11033] "255933_at" "255934_at"
## [11035] "255935_at" "255936_at"
## [11037] "255937_at" "255938_at"
## [11039] "255939_at" "255940_at"
## [11041] "255941_at" "255942_at"
## [11043] "255943_at" "255944_at"
## [11045] "255945_at" "255946_at"
## [11047] "255947_at" "255948_at"
## [11049] "255949_at" "255950_at"
## [11051] "255951_at" "255952_at"
## [11053] "255953_at" "255954_at"
## [11055] "255955_at" "255956_at"
## [11057] "255957_at" "255958_at"
## [11059] "255959_at" "255960_at"
## [11061] "255961_at" "255962_at"
## [11063] "255963_at" "255964_at"
## [11065] "255965_at" "255966_at"
## [11067] "255967_at" "255968_at"
## [11069] "255969_at" "255970_s_at"
## [11071] "255971_at" "255972_at"
## [11073] "255973_at" "255974_at"
## [11075] "255975_at" "255976_at"
## [11077] "255977_at" "255978_at"
## [11079] "255979_at" "255980_at"
## [11081] "255981_at" "255982_at"
## [11083] "255983_at" "255984_at"
## [11085] "255985_at" "255986_x_at"
## [11087] "255987_s_at" "255988_at"
## [11089] "255989_at" "255990_at"
## [11091] "255991_at" "255992_at"
## [11093] "255993_at" "255994_at"
## [11095] "255995_at" "255996_s_at"
## [11097] "255997_s_at" "255998_at"
## [11099] "255999_at" "256000_at"
## [11101] "256001_at" "256002_at"
## [11103] "256003_at" "256004_at"
## [11105] "256005_at" "256006_at"
## [11107] "256007_at" "256008_s_at"
## [11109] "256009_at" "256010_at"
## [11111] "256011_at" "256012_at"
## [11113] "256013_at" "256014_at"
## [11115] "256015_at" "256016_at"
## [11117] "256017_at" "256018_at"
## [11119] "256019_at" "256020_at"
## [11121] "256021_at" "256022_at"
## [11123] "256023_at" "256024_at"
## [11125] "256025_at" "256026_at"
## [11127] "256027_at" "256028_at"
## [11129] "256029_at" "256030_at"
## [11131] "256031_at" "256032_at"
## [11133] "256033_at" "256034_at"
## [11135] "256035_at" "256036_at"
## [11137] "256037_at" "256038_at"
## [11139] "256039_at" "256040_at"
## [11141] "256041_at" "256042_at"
## [11143] "256043_at" "256044_at"
## [11145] "256045_at" "256046_at"
## [11147] "256047_at" "256048_at"
## [11149] "256049_at" "256050_at"
## [11151] "256051_at" "256052_at"
## [11153] "256053_at" "256054_at"
## [11155] "256055_at" "256056_at"
## [11157] "256057_at" "256058_at"
## [11159] "256059_at" "256060_at"
## [11161] "256061_at" "256062_at"
## [11163] "256063_at" "256064_at"
## [11165] "256065_at" "256066_at"
## [11167] "256067_at" "256068_at"
## [11169] "256069_at" "256070_at"
## [11171] "256071_at" "256072_at"
## [11173] "256073_at" "256074_at"
## [11175] "256075_at" "256076_at"
## [11177] "256077_at" "256078_at"
## [11179] "256079_at" "256080_at"
## [11181] "256081_at" "256082_at"
## [11183] "256083_at" "256084_at"
## [11185] "256085_at" "256086_at"
## [11187] "256087_at" "256088_at"
## [11189] "256089_at" "256090_at"
## [11191] "256091_at" "256092_at"
## [11193] "256093_at" "256094_at"
## [11195] "256095_at" "256096_at"
## [11197] "256097_at" "256098_at"
## [11199] "256099_at" "256100_at"
## [11201] "256101_at" "256102_at"
## [11203] "256103_at" "256104_at"
## [11205] "256105_at" "256106_at"
## [11207] "256107_at" "256108_at"
## [11209] "256109_at" "256110_at"
## [11211] "256111_at" "256112_at"
## [11213] "256113_at" "256114_at"
## [11215] "256115_at" "256116_at"
## [11217] "256117_at" "256118_at"
## [11219] "256119_at" "256120_at"
## [11221] "256121_at" "256122_at"
## [11223] "256123_at" "256124_at"
## [11225] "256125_at" "256126_at"
## [11227] "256127_at" "256128_at"
## [11229] "256129_at" "256130_at"
## [11231] "256131_at" "256132_at"
## [11233] "256133_at" "256134_at"
## [11235] "256135_at" "256136_s_at"
## [11237] "256137_at" "256138_at"
## [11239] "256139_at" "256140_at"
## [11241] "256141_at" "256142_at"
## [11243] "256143_at" "256144_at"
## [11245] "256145_at" "256146_at"
## [11247] "256147_at" "256148_at"
## [11249] "256149_at" "256150_at"
## [11251] "256151_at" "256152_at"
## [11253] "256153_at" "256154_at"
## [11255] "256155_at" "256156_at"
## [11257] "256157_at" "256158_at"
## [11259] "256159_at" "256160_at"
## [11261] "256161_at" "256162_at"
## [11263] "256163_at" "256164_at"
## [11265] "256165_at" "256166_at"
## [11267] "256167_at" "256168_at"
## [11269] "256169_at" "256170_at"
## [11271] "256171_s_at" "256172_at"
## [11273] "256173_at" "256174_at"
## [11275] "256175_at" "256176_at"
## [11277] "256177_at" "256178_s_at"
## [11279] "256179_at" "256180_at"
## [11281] "256181_at" "256182_at"
## [11283] "256183_at" "256184_at"
## [11285] "256185_at" "256186_at"
## [11287] "256187_at" "256188_at"
## [11289] "256189_at" "256190_at"
## [11291] "256191_at" "256192_at"
## [11293] "256193_at" "256194_at"
## [11295] "256195_at" "256196_at"
## [11297] "256197_at" "256198_at"
## [11299] "256199_at" "256200_at"
## [11301] "256201_at" "256202_s_at"
## [11303] "256203_at" "256204_at"
## [11305] "256205_at" "256206_at"
## [11307] "256207_at" "256208_at"
## [11309] "256209_at" "256210_at"
## [11311] "256211_at" "256212_at"
## [11313] "256213_at" "256214_x_at"
## [11315] "256215_at" "256216_at"
## [11317] "256217_at" "256218_at"
## [11319] "256219_at" "256220_at"
## [11321] "256221_at" "256222_at"
## [11323] "256223_at" "256224_at"
## [11325] "256225_at" "256226_at"
## [11327] "256227_at" "256228_at"
## [11329] "256229_at" "256230_at"
## [11331] "256231_at" "256232_at"
## [11333] "256233_at" "256234_at"
## [11335] "256235_at" "256236_at"
## [11337] "256237_at" "256238_at"
## [11339] "256239_at" "256240_at"
## [11341] "256241_at" "256242_at"
## [11343] "256243_at" "256244_at"
## [11345] "256245_at" "256246_at"
## [11347] "256247_at" "256248_at"
## [11349] "256249_at" "256250_at"
## [11351] "256251_at" "256252_at"
## [11353] "256253_at" "256254_at"
## [11355] "256255_at" "256256_at"
## [11357] "256257_at" "256258_at"
## [11359] "256259_at" "256260_at"
## [11361] "256261_at" "256262_at"
## [11363] "256263_at" "256264_at"
## [11365] "256265_at" "256266_at"
## [11367] "256267_at" "256268_at"
## [11369] "256269_at" "256270_at"
## [11371] "256271_at" "256272_at"
## [11373] "256273_at" "256274_at"
## [11375] "256275_at" "256276_at"
## [11377] "256277_at" "256278_at"
## [11379] "256279_at" "256280_at"
## [11381] "256281_at" "256282_at"
## [11383] "256283_at" "256284_at"
## [11385] "256285_at" "256286_at"
## [11387] "256287_at" "256288_at"
## [11389] "256289_s_at" "256290_at"
## [11391] "256291_at" "256292_at"
## [11393] "256293_at" "256294_at"
## [11395] "256295_at" "256296_at"
## [11397] "256297_at" "256298_at"
## [11399] "256299_at" "256300_at"
## [11401] "256301_at" "256302_at"
## [11403] "256303_at" "256304_at"
## [11405] "256305_at" "256306_at"
## [11407] "256307_at" "256308_s_at"
## [11409] "256309_at" "256310_at"
## [11411] "256311_at" "256312_x_at"
## [11413] "256313_s_at" "256314_at"
## [11415] "256315_at" "256316_at"
## [11417] "256317_at" "256318_s_at"
## [11419] "256319_at" "256320_at"
## [11421] "256321_at" "256322_at"
## [11423] "256323_at" "256324_at"
## [11425] "256325_at" "256326_at"
## [11427] "256327_at" "256328_at"
## [11429] "256329_at" "256330_at"
## [11431] "256331_at" "256332_at"
## [11433] "256333_at" "256334_at"
## [11435] "256335_at" "256336_at"
## [11437] "256337_at" "256338_at"
## [11439] "256339_at" "256340_at"
## [11441] "256341_at" "256342_at"
## [11443] "256343_at" "256344_at"
## [11445] "256345_at" "256346_s_at"
## [11447] "256347_at" "256348_at"
## [11449] "256349_at" "256350_at"
## [11451] "256351_at" "256352_at"
## [11453] "256353_at" "256354_at"
## [11455] "256355_at" "256356_s_at"
## [11457] "256357_at" "256358_at"
## [11459] "256359_at" "256360_at"
## [11461] "256361_at" "256362_at"
## [11463] "256363_at" "256364_at"
## [11465] "256365_at" "256366_at"
## [11467] "256367_at" "256368_at"
## [11469] "256369_at" "256370_at"
## [11471] "256371_at" "256372_at"
## [11473] "256373_at" "256374_at"
## [11475] "256375_at" "256376_s_at"
## [11477] "256377_at" "256378_at"
## [11479] "256379_at" "256380_at"
## [11481] "256381_at" "256382_at"
## [11483] "256383_at" "256384_at"
## [11485] "256385_at" "256386_at"
## [11487] "256387_at" "256388_at"
## [11489] "256389_at" "256390_at"
## [11491] "256391_at" "256392_at"
## [11493] "256393_at" "256394_at"
## [11495] "256395_at" "256396_at"
## [11497] "256397_at" "256398_at"
## [11499] "256399_at" "256400_at"
## [11501] "256401_at" "256402_at"
## [11503] "256403_at" "256404_at"
## [11505] "256405_at" "256406_at"
## [11507] "256407_at" "256408_at"
## [11509] "256409_at" "256410_at"
## [11511] "256411_at" "256412_at"
## [11513] "256413_at" "256414_at"
## [11515] "256415_at" "256416_at"
## [11517] "256417_s_at" "256418_at"
## [11519] "256419_at" "256420_at"
## [11521] "256421_at" "256422_at"
## [11523] "256423_at" "256424_at"
## [11525] "256425_at" "256426_at"
## [11527] "256427_at" "256428_at"
## [11529] "256429_at" "256430_at"
## [11531] "256431_s_at" "256432_at"
## [11533] "256433_at" "256434_at"
## [11535] "256435_at" "256436_at"
## [11537] "256437_s_at" "256438_s_at"
## [11539] "256439_at" "256440_at"
## [11541] "256441_at" "256442_at"
## [11543] "256443_at" "256444_at"
## [11545] "256445_at" "256446_at"
## [11547] "256447_at" "256448_s_at"
## [11549] "256449_at" "256450_at"
## [11551] "256451_s_at" "256452_at"
## [11553] "256453_at" "256454_at"
## [11555] "256455_at" "256456_at"
## [11557] "256457_at" "256458_at"
## [11559] "256459_at" "256460_at"
## [11561] "256461_s_at" "256462_at"
## [11563] "256463_s_at" "256464_at"
## [11565] "256465_at" "256466_at"
## [11567] "256467_at" "256468_at"
## [11569] "256469_at" "256470_at"
## [11571] "256471_at" "256472_at"
## [11573] "256473_at" "256474_at"
## [11575] "256475_s_at" "256476_at"
## [11577] "256477_at" "256478_at"
## [11579] "256479_at" "256480_at"
## [11581] "256481_at" "256482_at"
## [11583] "256483_at" "256484_at"
## [11585] "256485_at" "256486_at"
## [11587] "256487_at" "256488_at"
## [11589] "256489_at" "256490_at"
## [11591] "256491_at" "256492_at"
## [11593] "256493_at" "256494_at"
## [11595] "256495_at" "256496_at"
## [11597] "256497_at" "256498_at"
## [11599] "256499_at" "256500_at"
## [11601] "256501_at" "256502_at"
## [11603] "256503_at" "256504_at"
## [11605] "256505_at" "256506_at"
## [11607] "256507_at" "256508_at"
## [11609] "256509_at" "256510_at"
## [11611] "256511_at" "256512_at"
## [11613] "256513_at" "256514_at"
## [11615] "256515_at" "256516_at"
## [11617] "256517_at" "256518_at"
## [11619] "256519_at" "256520_at"
## [11621] "256521_at" "256522_at"
## [11623] "256523_at" "256524_at"
## [11625] "256525_at" "256526_at"
## [11627] "256527_at" "256528_at"
## [11629] "256529_at" "256530_at"
## [11631] "256531_at" "256532_at"
## [11633] "256533_at" "256534_at"
## [11635] "256535_at" "256536_at"
## [11637] "256537_at" "256538_x_at"
## [11639] "256539_at" "256540_at"
## [11641] "256541_at" "256542_at"
## [11643] "256543_at" "256544_at"
## [11645] "256545_at" "256546_at"
## [11647] "256547_at" "256548_at"
## [11649] "256549_at" "256550_at"
## [11651] "256551_at" "256552_at"
## [11653] "256553_at" "256554_at"
## [11655] "256555_at" "256556_at"
## [11657] "256557_at" "256558_at"
## [11659] "256559_at" "256560_s_at"
## [11661] "256561_s_at" "256562_at"
## [11663] "256563_at" "256564_at"
## [11665] "256565_at" "256566_at"
## [11667] "256567_at" "256568_at"
## [11669] "256569_at" "256570_at"
## [11671] "256571_at" "256572_at"
## [11673] "256573_at" "256574_at"
## [11675] "256575_at" "256576_at"
## [11677] "256577_at" "256578_at"
## [11679] "256579_at" "256580_s_at"
## [11681] "256581_at" "256582_at"
## [11683] "256583_at" "256584_at"
## [11685] "256585_at" "256586_at"
## [11687] "256587_at" "256588_at"
## [11689] "256589_at" "256590_at"
## [11691] "256591_at" "256592_at"
## [11693] "256593_at" "256594_at"
## [11695] "256595_x_at" "256596_at"
## [11697] "256597_at" "256598_at"
## [11699] "256599_at" "256600_at"
## [11701] "256601_s_at" "256602_at"
## [11703] "256603_at" "256604_at"
## [11705] "256605_at" "256606_at"
## [11707] "256607_at" "256608_at"
## [11709] "256609_at" "256610_at"
## [11711] "256611_at" "256612_at"
## [11713] "256613_at" "256614_at"
## [11715] "256615_at" "256616_at"
## [11717] "256617_at" "256618_at"
## [11719] "256619_at" "256620_at"
## [11721] "256621_at" "256622_at"
## [11723] "256623_at" "256624_at"
## [11725] "256625_at" "256626_at"
## [11727] "256627_at" "256628_at"
## [11729] "256629_at" "256630_at"
## [11731] "256631_at" "256632_at"
## [11733] "256633_at" "256634_s_at"
## [11735] "256635_at" "256636_at"
## [11737] "256637_at" "256638_at"
## [11739] "256639_at" "256640_at"
## [11741] "256641_at" "256642_at"
## [11743] "256643_at" "256644_at"
## [11745] "256645_at" "256646_at"
## [11747] "256647_at" "256648_at"
## [11749] "256649_at" "256650_at"
## [11751] "256651_at" "256652_at"
## [11753] "256653_at" "256654_at"
## [11755] "256655_at" "256656_at"
## [11757] "256657_at" "256658_at"
## [11759] "256659_at" "256660_at"
## [11761] "256661_at" "256662_at"
## [11763] "256663_at" "256664_at"
## [11765] "256665_at" "256666_at"
## [11767] "256667_at" "256668_at"
## [11769] "256669_s_at" "256670_at"
## [11771] "256671_at" "256672_at"
## [11773] "256673_at" "256674_at"
## [11775] "256675_at" "256676_at"
## [11777] "256677_at" "256678_at"
## [11779] "256679_at" "256680_at"
## [11781] "256681_at" "256682_at"
## [11783] "256683_at" "256684_at"
## [11785] "256685_at" "256686_at"
## [11787] "256687_x_at" "256688_at"
## [11789] "256689_at" "256690_at"
## [11791] "256691_at" "256692_at"
## [11793] "256693_at" "256694_at"
## [11795] "256695_at" "256696_at"
## [11797] "256697_at" "256698_at"
## [11799] "256699_at" "256700_at"
## [11801] "256701_at" "256702_at"
## [11803] "256703_at" "256704_at"
## [11805] "256705_at" "256706_at"
## [11807] "256707_at" "256708_at"
## [11809] "256709_at" "256710_at"
## [11811] "256711_at" "256712_at"
## [11813] "256713_at" "256714_at"
## [11815] "256715_at" "256716_at"
## [11817] "256717_at" "256718_at"
## [11819] "256719_at" "256720_at"
## [11821] "256721_at" "256722_at"
## [11823] "256723_at" "256724_at"
## [11825] "256725_at" "256726_at"
## [11827] "256727_at" "256728_at"
## [11829] "256729_at" "256730_at"
## [11831] "256731_at" "256732_at"
## [11833] "256733_at" "256734_at"
## [11835] "256735_at" "256736_at"
## [11837] "256737_at" "256738_at"
## [11839] "256739_s_at" "256740_at"
## [11841] "256741_at" "256742_at"
## [11843] "256743_at" "256744_at"
## [11845] "256745_at" "256746_at"
## [11847] "256747_at" "256748_x_at"
## [11849] "256749_at" "256750_at"
## [11851] "256751_at" "256752_at"
## [11853] "256753_at" "256754_at"
## [11855] "256755_at" "256756_at"
## [11857] "256757_at" "256758_at"
## [11859] "256759_at" "256760_at"
## [11861] "256761_at" "256762_at"
## [11863] "256763_at" "256764_at"
## [11865] "256765_at" "256766_at"
## [11867] "256767_at" "256768_at"
## [11869] "256769_at" "256770_at"
## [11871] "256771_at" "256772_at"
## [11873] "256773_at" "256774_at"
## [11875] "256775_at" "256776_at"
## [11877] "256777_at" "256778_at"
## [11879] "256779_at" "256780_at"
## [11881] "256781_at" "256782_at"
## [11883] "256783_at" "256784_at"
## [11885] "256785_at" "256786_at"
## [11887] "256787_at" "256788_at"
## [11889] "256789_at" "256790_at"
## [11891] "256791_at" "256792_at"
## [11893] "256793_at" "256794_at"
## [11895] "256795_at" "256796_at"
## [11897] "256797_at" "256798_at"
## [11899] "256799_at" "256800_at"
## [11901] "256801_at" "256802_at"
## [11903] "256803_at" "256804_at"
## [11905] "256805_at" "256806_at"
## [11907] "256807_at" "256808_at"
## [11909] "256809_at" "256810_at"
## [11911] "256811_at" "256812_at"
## [11913] "256813_at" "256814_at"
## [11915] "256815_at" "256816_at"
## [11917] "256817_at" "256818_at"
## [11919] "256819_at" "256820_at"
## [11921] "256821_at" "256822_at"
## [11923] "256823_at" "256824_at"
## [11925] "256825_at" "256826_at"
## [11927] "256827_at" "256828_at"
## [11929] "256829_at" "256830_at"
## [11931] "256831_at" "256832_at"
## [11933] "256833_at" "256834_at"
## [11935] "256835_at" "256836_at"
## [11937] "256837_at" "256838_at"
## [11939] "256839_at" "256840_x_at"
## [11941] "256841_x_at" "256842_at"
## [11943] "256843_at" "256844_s_at"
## [11945] "256845_x_at" "256846_at"
## [11947] "256847_at" "256848_at"
## [11949] "256849_at" "256850_at"
## [11951] "256851_at" "256852_at"
## [11953] "256853_at" "256854_at"
## [11955] "256855_at" "256856_at"
## [11957] "256857_at" "256858_at"
## [11959] "256859_at" "256860_at"
## [11961] "256861_at" "256862_at"
## [11963] "256863_at" "256864_at"
## [11965] "256865_at" "256866_at"
## [11967] "256867_at" "256868_at"
## [11969] "256869_at" "256870_at"
## [11971] "256871_at" "256872_at"
## [11973] "256873_at" "256874_at"
## [11975] "256875_at" "256876_at"
## [11977] "256877_at" "256878_at"
## [11979] "256879_at" "256880_at"
## [11981] "256881_at" "256882_at"
## [11983] "256883_at" "256884_at"
## [11985] "256885_at" "256886_at"
## [11987] "256887_at" "256888_at"
## [11989] "256889_at" "256890_at"
## [11991] "256891_at" "256892_at"
## [11993] "256893_x_at" "256894_at"
## [11995] "256895_at" "256896_at"
## [11997] "256897_at" "256898_at"
## [11999] "256899_at" "256900_at"
## [12001] "256901_at" "256902_s_at"
## [12003] "256903_at" "256904_at"
## [12005] "256905_at" "256906_at"
## [12007] "256907_at" "256908_at"
## [12009] "256909_at" "256910_at"
## [12011] "256911_at" "256912_at"
## [12013] "256913_at" "256914_at"
## [12015] "256915_at" "256916_at"
## [12017] "256917_at" "256918_s_at"
## [12019] "256919_at" "256920_at"
## [12021] "256921_at" "256922_at"
## [12023] "256923_at" "256924_at"
## [12025] "256925_at" "256926_at"
## [12027] "256927_at" "256928_at"
## [12029] "256929_at" "256930_at"
## [12031] "256931_at" "256932_at"
## [12033] "256933_at" "256934_at"
## [12035] "256935_at" "256936_at"
## [12037] "256937_at" "256938_at"
## [12039] "256939_at" "256940_at"
## [12041] "256941_at" "256942_at"
## [12043] "256943_at" "256944_at"
## [12045] "256945_at" "256946_at"
## [12047] "256947_at" "256948_at"
## [12049] "256949_at" "256950_at"
## [12051] "256951_at" "256952_at"
## [12053] "256953_at" "256954_at"
## [12055] "256955_at" "256956_at"
## [12057] "256957_at" "256958_at"
## [12059] "256959_at" "256960_at"
## [12061] "256961_at" "256962_at"
## [12063] "256963_at" "256964_at"
## [12065] "256965_at" "256966_at"
## [12067] "256967_at" "256968_at"
## [12069] "256969_at" "256970_at"
## [12071] "256971_at" "256972_at"
## [12073] "256973_at" "256974_at"
## [12075] "256975_at" "256976_at"
## [12077] "256977_at" "256978_at"
## [12079] "256979_at" "256980_at"
## [12081] "256981_at" "256982_at"
## [12083] "256983_at" "256984_at"
## [12085] "256985_at" "256986_at"
## [12087] "256987_at" "256988_s_at"
## [12089] "256989_at" "256990_at"
## [12091] "256991_at" "256992_at"
## [12093] "256993_at" "256994_s_at"
## [12095] "256995_at" "256996_at"
## [12097] "256997_at" "256998_at"
## [12099] "256999_at" "257000_at"
## [12101] "257001_at" "257002_at"
## [12103] "257003_at" "257004_s_at"
## [12105] "257005_at" "257006_at"
## [12107] "257007_at" "257008_at"
## [12109] "257009_at" "257010_at"
## [12111] "257011_at" "257012_at"
## [12113] "257013_at" "257014_at"
## [12115] "257015_at" "257016_at"
## [12117] "257017_at" "257018_at"
## [12119] "257019_at" "257020_at"
## [12121] "257021_at" "257022_at"
## [12123] "257023_at" "257024_at"
## [12125] "257025_at" "257026_at"
## [12127] "257027_at" "257028_at"
## [12129] "257029_at" "257030_at"
## [12131] "257031_at" "257032_at"
## [12133] "257033_at" "257034_at"
## [12135] "257035_at" "257036_at"
## [12137] "257037_at" "257038_at"
## [12139] "257039_at" "257040_at"
## [12141] "257041_at" "257042_s_at"
## [12143] "257043_at" "257044_at"
## [12145] "257045_at" "257046_at"
## [12147] "257047_at" "257048_at"
## [12149] "257049_at" "257050_at"
## [12151] "257051_at" "257052_at"
## [12153] "257053_at" "257054_at"
## [12155] "257055_at" "257056_at"
## [12157] "257057_at" "257058_at"
## [12159] "257059_at" "257060_at"
## [12161] "257061_at" "257062_at"
## [12163] "257063_s_at" "257064_at"
## [12165] "257065_at" "257066_at"
## [12167] "257067_at" "257068_at"
## [12169] "257069_at" "257070_at"
## [12171] "257071_at" "257072_at"
## [12173] "257073_at" "257074_at"
## [12175] "257075_at" "257076_at"
## [12177] "257077_at" "257078_at"
## [12179] "257079_at" "257080_at"
## [12181] "257081_at" "257082_at"
## [12183] "257083_s_at" "257084_at"
## [12185] "257085_at" "257086_at"
## [12187] "257087_at" "257088_at"
## [12189] "257089_at" "257090_at"
## [12191] "257091_at" "257092_at"
## [12193] "257093_at" "257094_at"
## [12195] "257095_at" "257096_at"
## [12197] "257097_at" "257098_at"
## [12199] "257099_s_at" "257100_at"
## [12201] "257101_at" "257102_at"
## [12203] "257103_at" "257104_at"
## [12205] "257105_at" "257106_at"
## [12207] "257107_at" "257108_x_at"
## [12209] "257109_s_at" "257110_x_at"
## [12211] "257111_x_at" "257112_at"
## [12213] "257113_at" "257114_at"
## [12215] "257115_at" "257116_at"
## [12217] "257117_at" "257118_at"
## [12219] "257119_at" "257120_at"
## [12221] "257121_at" "257122_at"
## [12223] "257123_at" "257124_at"
## [12225] "257125_at" "257126_at"
## [12227] "257127_at" "257128_at"
## [12229] "257129_at" "257130_at"
## [12231] "257131_at" "257132_at"
## [12233] "257133_at" "257134_at"
## [12235] "257135_at" "257136_at"
## [12237] "257137_at" "257138_at"
## [12239] "257139_at" "257140_at"
## [12241] "257141_at" "257142_at"
## [12243] "257143_at" "257144_at"
## [12245] "257145_at" "257146_at"
## [12247] "257147_at" "257148_at"
## [12249] "257149_at" "257150_at"
## [12251] "257151_at" "257152_at"
## [12253] "257153_at" "257154_at"
## [12255] "257155_at" "257156_at"
## [12257] "257157_at" "257158_at"
## [12259] "257159_at" "257160_at"
## [12261] "257161_at" "257162_s_at"
## [12263] "257163_at" "257164_at"
## [12265] "257165_at" "257166_at"
## [12267] "257167_at" "257168_at"
## [12269] "257169_at" "257170_at"
## [12271] "257171_at" "257172_at"
## [12273] "257173_at" "257174_at"
## [12275] "257175_s_at" "257176_s_at"
## [12277] "257177_at" "257178_at"
## [12279] "257179_at" "257180_at"
## [12281] "257181_at" "257182_s_at"
## [12283] "257183_at" "257184_at"
## [12285] "257185_at" "257186_at"
## [12287] "257187_at" "257188_at"
## [12289] "257189_at" "257190_at"
## [12291] "257191_at" "257192_at"
## [12293] "257193_at" "257194_at"
## [12295] "257195_at" "257196_at"
## [12297] "257197_at" "257198_at"
## [12299] "257199_at" "257200_at"
## [12301] "257201_at" "257202_at"
## [12303] "257203_at" "257204_at"
## [12305] "257205_at" "257206_at"
## [12307] "257207_at" "257208_at"
## [12309] "257209_at" "257210_at"
## [12311] "257211_at" "257212_at"
## [12313] "257213_at" "257214_at"
## [12315] "257215_at" "257216_at"
## [12317] "257217_at" "257218_at"
## [12319] "257219_at" "257220_at"
## [12321] "257221_at" "257222_at"
## [12323] "257223_at" "257224_at"
## [12325] "257225_s_at" "257226_at"
## [12327] "257227_at" "257228_at"
## [12329] "257229_at" "257230_at"
## [12331] "257231_at" "257232_at"
## [12333] "257233_at" "257234_at"
## [12335] "257235_at" "257236_at"
## [12337] "257237_at" "257238_at"
## [12339] "257239_at" "257240_at"
## [12341] "257241_at" "257242_at"
## [12343] "257243_at" "257244_at"
## [12345] "257245_at" "257246_at"
## [12347] "257247_at" "257248_at"
## [12349] "257249_at" "257250_at"
## [12351] "257251_at" "257252_at"
## [12353] "257253_at" "257254_at"
## [12355] "257255_at" "257256_at"
## [12357] "257257_at" "257258_at"
## [12359] "257259_at" "257260_at"
## [12361] "257261_s_at" "257262_at"
## [12363] "257263_at" "257264_at"
## [12365] "257265_at" "257266_at"
## [12367] "257267_at" "257268_at"
## [12369] "257269_at" "257270_at"
## [12371] "257271_at" "257272_at"
## [12373] "257273_at" "257274_at"
## [12375] "257275_at" "257276_at"
## [12377] "257277_at" "257278_at"
## [12379] "257279_at" "257280_at"
## [12381] "257281_s_at" "257282_at"
## [12383] "257283_at" "257284_at"
## [12385] "257285_at" "257286_s_at"
## [12387] "257287_at" "257288_at"
## [12389] "257289_at" "257290_at"
## [12391] "257291_at" "257292_s_at"
## [12393] "257293_at" "257294_at"
## [12395] "257295_at" "257296_at"
## [12397] "257297_at" "257298_at"
## [12399] "257299_at" "257300_at"
## [12401] "257301_at" "257302_at"
## [12403] "257303_at" "257304_at"
## [12405] "257305_at" "257306_at"
## [12407] "257307_at" "257308_at"
## [12409] "257309_at" "257310_at"
## [12411] "257311_at" "257312_at"
## [12413] "257313_at" "257314_at"
## [12415] "257315_at" "257316_at"
## [12417] "257317_at" "257318_at"
## [12419] "257319_at" "257320_at"
## [12421] "257321_at" "257322_at"
## [12423] "257323_at" "257324_at"
## [12425] "257325_at" "257326_s_at"
## [12427] "257327_at" "257328_s_at"
## [12429] "257329_at" "257330_at"
## [12431] "257331_at" "257332_at"
## [12433] "257333_at" "257334_at"
## [12435] "257335_at" "257336_at"
## [12437] "257337_at" "257338_s_at"
## [12439] "257339_s_at" "257340_at"
## [12441] "257341_at" "257342_at"
## [12443] "257343_s_at" "257344_s_at"
## [12445] "257345_s_at" "257346_at"
## [12447] "257347_at" "257348_at"
## [12449] "257349_at" "257350_x_at"
## [12451] "257351_at" "257352_at"
## [12453] "257353_at" "257354_x_at"
## [12455] "257355_at" "257356_s_at"
## [12457] "257357_at" "257358_at"
## [12459] "257359_x_at" "257360_at"
## [12461] "257361_at" "257362_at"
## [12463] "257363_at" "257364_at"
## [12465] "257365_x_at" "257366_s_at"
## [12467] "257367_at" "257368_at"
## [12469] "257369_at" "257370_at"
## [12471] "257371_at" "257372_at"
## [12473] "257373_at" "257374_at"
## [12475] "257375_at" "257376_at"
## [12477] "257377_at" "257378_s_at"
## [12479] "257379_x_at" "257380_at"
## [12481] "257381_at" "257382_at"
## [12483] "257383_at" "257384_at"
## [12485] "257385_at" "257386_at"
## [12487] "257387_s_at" "257388_at"
## [12489] "257389_at" "257390_x_at"
## [12491] "257391_at" "257392_at"
## [12493] "257393_at" "257394_at"
## [12495] "257395_at" "257396_at"
## [12497] "257397_at" "257398_at"
## [12499] "257399_at" "257400_s_at"
## [12501] "257401_at" "257402_at"
## [12503] "257403_at" "257404_at"
## [12505] "257405_at" "257406_at"
## [12507] "257407_at" "257408_at"
## [12509] "257409_at" "257410_at"
## [12511] "257411_s_at" "257412_at"
## [12513] "257413_at" "257414_at"
## [12515] "257415_at" "257416_at"
## [12517] "257417_at" "257418_at"
## [12519] "257419_at" "257420_at"
## [12521] "257421_at" "257422_at"
## [12523] "257423_at" "257424_at"
## [12525] "257425_at" "257426_at"
## [12527] "257427_at" "257428_at"
## [12529] "257429_at" "257430_at"
## [12531] "257431_at" "257432_at"
## [12533] "257433_at" "257434_at"
## [12535] "257435_at" "257436_s_at"
## [12537] "257437_s_at" "257438_at"
## [12539] "257439_at" "257440_at"
## [12541] "257441_at" "257442_at"
## [12543] "257443_at" "257444_at"
## [12545] "257445_x_at" "257446_at"
## [12547] "257447_at" "257448_s_at"
## [12549] "257449_at" "257450_at"
## [12551] "257451_at" "257452_at"
## [12553] "257453_at" "257454_at"
## [12555] "257455_s_at" "257456_at"
## [12557] "257457_at" "257458_at"
## [12559] "257459_at" "257460_at"
## [12561] "257461_at" "257462_at"
## [12563] "257463_at" "257464_at"
## [12565] "257465_at" "257466_at"
## [12567] "257467_at" "257468_at"
## [12569] "257469_at" "257470_at"
## [12571] "257471_at" "257472_at"
## [12573] "257473_at" "257474_at"
## [12575] "257475_at" "257476_at"
## [12577] "257477_at" "257478_at"
## [12579] "257479_at" "257480_at"
## [12581] "257481_at" "257482_x_at"
## [12583] "257483_at" "257484_at"
## [12585] "257485_at" "257486_at"
## [12587] "257487_at" "257488_s_at"
## [12589] "257489_at" "257490_x_at"
## [12591] "257491_at" "257492_at"
## [12593] "257493_at" "257494_at"
## [12595] "257495_at" "257496_s_at"
## [12597] "257497_at" "257498_at"
## [12599] "257499_at" "257500_s_at"
## [12601] "257501_at" "257502_at"
## [12603] "257503_at" "257504_at"
## [12605] "257505_at" "257506_at"
## [12607] "257507_at" "257508_at"
## [12609] "257509_at" "257510_at"
## [12611] "257511_at" "257512_at"
## [12613] "257513_s_at" "257514_at"
## [12615] "257515_at" "257516_at"
## [12617] "257517_at" "257518_at"
## [12619] "257519_at" "257520_at"
## [12621] "257521_at" "257522_at"
## [12623] "257523_at" "257524_at"
## [12625] "257525_at" "257526_s_at"
## [12627] "257527_at" "257528_at"
## [12629] "257529_at" "257530_at"
## [12631] "257531_at" "257532_at"
## [12633] "257533_at" "257534_at"
## [12635] "257535_at" "257536_at"
## [12637] "257537_at" "257538_at"
## [12639] "257539_at" "257540_at"
## [12641] "257541_at" "257542_at"
## [12643] "257543_at" "257544_at"
## [12645] "257545_at" "257546_s_at"
## [12647] "257547_at" "257548_s_at"
## [12649] "257549_at" "257550_at"
## [12651] "257551_at" "257552_at"
## [12653] "257553_at" "257554_at"
## [12655] "257555_at" "257556_at"
## [12657] "257557_at" "257558_s_at"
## [12659] "257559_at" "257560_at"
## [12661] "257561_at" "257562_at"
## [12663] "257563_at" "257564_at"
## [12665] "257565_at" "257566_x_at"
## [12667] "257567_at" "257568_s_at"
## [12669] "257569_at" "257570_at"
## [12671] "257571_at" "257572_at"
## [12673] "257573_at" "257574_at"
## [12675] "257575_at" "257576_at"
## [12677] "257577_at" "257578_x_at"
## [12679] "257579_at" "257580_at"
## [12681] "257581_s_at" "257582_at"
## [12683] "257583_at" "257584_at"
## [12685] "257585_at" "257586_at"
## [12687] "257587_at" "257588_x_at"
## [12689] "257589_at" "257590_s_at"
## [12691] "257591_at" "257592_at"
## [12693] "257593_at" "257594_at"
## [12695] "257595_at" "257596_at"
## [12697] "257597_at" "257598_at"
## [12699] "257599_at" "257600_at"
## [12701] "257601_at" "257602_at"
## [12703] "257603_at" "257604_s_at"
## [12705] "257605_at" "257606_at"
## [12707] "257607_at" "257608_at"
## [12709] "257609_at" "257610_at"
## [12711] "257611_at" "257612_at"
## [12713] "257613_at" "257614_at"
## [12715] "257615_at" "257616_at"
## [12717] "257617_at" "257618_at"
## [12719] "257619_at" "257620_at"
## [12721] "257621_at" "257622_at"
## [12723] "257623_at" "257624_at"
## [12725] "257625_at" "257626_s_at"
## [12727] "257627_at" "257628_at"
## [12729] "257629_at" "257630_at"
## [12731] "257631_at" "257632_at"
## [12733] "257633_at" "257634_s_at"
## [12735] "257635_at" "257636_at"
## [12737] "257637_at" "257638_at"
## [12739] "257639_at" "257640_at"
## [12741] "257641_s_at" "257642_at"
## [12743] "257643_at" "257644_at"
## [12745] "257645_at" "257646_at"
## [12747] "257647_at" "257648_at"
## [12749] "257649_at" "257650_at"
## [12751] "257651_at" "257652_at"
## [12753] "257653_at" "257654_at"
## [12755] "257655_at" "257656_at"
## [12757] "257657_at" "257658_at"
## [12759] "257659_at" "257660_at"
## [12761] "257661_at" "257662_at"
## [12763] "257663_at" "257664_at"
## [12765] "257665_at" "257666_at"
## [12767] "257667_at" "257668_at"
## [12769] "257669_at" "257670_at"
## [12771] "257671_at" "257672_at"
## [12773] "257673_at" "257674_at"
## [12775] "257675_at" "257676_at"
## [12777] "257677_at" "257678_at"
## [12779] "257679_at" "257680_at"
## [12781] "257681_at" "257682_at"
## [12783] "257683_at" "257684_s_at"
## [12785] "257685_at" "257686_at"
## [12787] "257687_at" "257688_at"
## [12789] "257689_at" "257690_at"
## [12791] "257691_at" "257692_at"
## [12793] "257693_at" "257694_at"
## [12795] "257695_at" "257696_at"
## [12797] "257697_at" "257698_at"
## [12799] "257699_at" "257700_at"
## [12801] "257701_at" "257702_at"
## [12803] "257703_at" "257704_at"
## [12805] "257705_at" "257706_at"
## [12807] "257707_at" "257708_at"
## [12809] "257709_at" "257710_at"
## [12811] "257711_at" "257712_at"
## [12813] "257713_at" "257714_at"
## [12815] "257715_at" "257716_at"
## [12817] "257717_at" "257718_at"
## [12819] "257719_at" "257720_at"
## [12821] "257721_at" "257722_at"
## [12823] "257723_at" "257724_at"
## [12825] "257725_at" "257726_at"
## [12827] "257727_at" "257728_at"
## [12829] "257729_at" "257730_at"
## [12831] "257731_at" "257732_at"
## [12833] "257733_at" "257734_at"
## [12835] "257735_at" "257736_at"
## [12837] "257737_at" "257738_at"
## [12839] "257739_at" "257740_at"
## [12841] "257741_at" "257742_at"
## [12843] "257743_at" "257744_at"
## [12845] "257745_at" "257746_at"
## [12847] "257747_at" "257748_at"
## [12849] "257749_at" "257750_at"
## [12851] "257751_at" "257752_at"
## [12853] "257753_at" "257754_at"
## [12855] "257755_at" "257756_at"
## [12857] "257757_at" "257758_at"
## [12859] "257759_at" "257760_s_at"
## [12861] "257761_at" "257762_at"
## [12863] "257763_s_at" "257764_at"
## [12865] "257765_at" "257766_at"
## [12867] "257767_at" "257768_at"
## [12869] "257769_at" "257770_at"
## [12871] "257771_at" "257772_at"
## [12873] "257773_at" "257774_at"
## [12875] "257775_at" "257776_at"
## [12877] "257777_x_at" "257778_at"
## [12879] "257779_at" "257780_at"
## [12881] "257781_at" "257782_at"
## [12883] "257783_at" "257784_at"
## [12885] "257785_at" "257786_at"
## [12887] "257787_at" "257788_at"
## [12889] "257789_at" "257790_at"
## [12891] "257791_at" "257792_at"
## [12893] "257793_at" "257794_at"
## [12895] "257795_at" "257796_at"
## [12897] "257797_at" "257798_at"
## [12899] "257799_at" "257800_at"
## [12901] "257801_at" "257802_at"
## [12903] "257803_at" "257804_at"
## [12905] "257805_at" "257806_at"
## [12907] "257807_at" "257808_at"
## [12909] "257809_at" "257810_at"
## [12911] "257811_at" "257812_at"
## [12913] "257813_at" "257814_at"
## [12915] "257815_at" "257816_at"
## [12917] "257817_at" "257818_at"
## [12919] "257819_at" "257820_at"
## [12921] "257821_at" "257822_at"
## [12923] "257823_at" "257824_at"
## [12925] "257825_at" "257826_at"
## [12927] "257827_at" "257828_at"
## [12929] "257829_at" "257830_at"
## [12931] "257831_at" "257832_at"
## [12933] "257833_at" "257834_at"
## [12935] "257835_at" "257836_at"
## [12937] "257837_at" "257838_at"
## [12939] "257839_at" "257840_at"
## [12941] "257841_at" "257842_at"
## [12943] "257843_at" "257844_at"
## [12945] "257845_at" "257846_at"
## [12947] "257847_at" "257848_at"
## [12949] "257849_at" "257850_at"
## [12951] "257851_at" "257852_at"
## [12953] "257853_at" "257854_at"
## [12955] "257855_at" "257856_at"
## [12957] "257857_s_at" "257858_at"
## [12959] "257859_at" "257860_at"
## [12961] "257861_at" "257862_s_at"
## [12963] "257863_at" "257864_at"
## [12965] "257865_at" "257866_at"
## [12967] "257867_at" "257868_at"
## [12969] "257869_at" "257870_at"
## [12971] "257871_at" "257872_at"
## [12973] "257873_at" "257874_at"
## [12975] "257875_at" "257876_at"
## [12977] "257877_at" "257878_at"
## [12979] "257879_at" "257880_at"
## [12981] "257881_at" "257882_at"
## [12983] "257883_at" "257884_at"
## [12985] "257885_at" "257886_at"
## [12987] "257887_at" "257888_at"
## [12989] "257889_at" "257890_s_at"
## [12991] "257891_at" "257892_at"
## [12993] "257893_at" "257894_at"
## [12995] "257895_at" "257896_at"
## [12997] "257897_at" "257898_s_at"
## [12999] "257899_at" "257900_at"
## [13001] "257901_at" "257902_at"
## [13003] "257903_at" "257904_at"
## [13005] "257905_at" "257906_at"
## [13007] "257907_at" "257908_at"
## [13009] "257909_at" "257910_at"
## [13011] "257911_at" "257912_at"
## [13013] "257913_at" "257914_at"
## [13015] "257915_at" "257916_at"
## [13017] "257917_at" "257918_at"
## [13019] "257919_at" "257920_at"
## [13021] "257921_at" "257922_at"
## [13023] "257923_at" "257924_at"
## [13025] "257925_at" "257926_at"
## [13027] "257927_at" "257928_at"
## [13029] "257929_at" "257930_at"
## [13031] "257931_at" "257932_at"
## [13033] "257933_at" "257934_at"
## [13035] "257935_at" "257936_at"
## [13037] "257937_at" "257938_at"
## [13039] "257939_at" "257940_at"
## [13041] "257941_at" "257942_at"
## [13043] "257943_at" "257944_at"
## [13045] "257945_at" "257946_at"
## [13047] "257947_at" "257948_at"
## [13049] "257949_at" "257950_at"
## [13051] "257951_at" "257952_at"
## [13053] "257953_at" "257954_at"
## [13055] "257955_at" "257956_at"
## [13057] "257957_at" "257958_at"
## [13059] "257959_at" "257960_at"
## [13061] "257961_at" "257962_at"
## [13063] "257963_at" "257964_at"
## [13065] "257965_at" "257966_at"
## [13067] "257967_at" "257968_at"
## [13069] "257969_at" "257970_at"
## [13071] "257971_at" "257972_at"
## [13073] "257973_at" "257974_at"
## [13075] "257975_at" "257976_at"
## [13077] "257977_at" "257978_at"
## [13079] "257979_at" "257980_at"
## [13081] "257981_at" "257982_at"
## [13083] "257983_at" "257984_at"
## [13085] "257985_at" "257986_at"
## [13087] "257987_at" "257988_at"
## [13089] "257989_at" "257990_at"
## [13091] "257991_at" "257992_at"
## [13093] "257993_at" "257994_at"
## [13095] "257995_at" "257996_at"
## [13097] "257997_at" "257998_at"
## [13099] "257999_at" "258000_at"
## [13101] "258001_at" "258002_at"
## [13103] "258003_at" "258004_at"
## [13105] "258005_at" "258006_at"
## [13107] "258007_at" "258008_at"
## [13109] "258009_at" "258010_at"
## [13111] "258011_at" "258012_at"
## [13113] "258013_at" "258014_at"
## [13115] "258015_at" "258016_at"
## [13117] "258017_at" "258018_at"
## [13119] "258019_at" "258020_at"
## [13121] "258021_at" "258022_at"
## [13123] "258023_at" "258024_at"
## [13125] "258025_at" "258026_at"
## [13127] "258027_at" "258028_at"
## [13129] "258029_at" "258030_at"
## [13131] "258031_s_at" "258032_at"
## [13133] "258033_at" "258034_at"
## [13135] "258035_at" "258036_at"
## [13137] "258037_at" "258038_at"
## [13139] "258039_at" "258040_at"
## [13141] "258041_at" "258042_at"
## [13143] "258043_at" "258044_at"
## [13145] "258045_at" "258046_at"
## [13147] "258047_at" "258048_at"
## [13149] "258049_at" "258050_at"
## [13151] "258051_at" "258052_at"
## [13153] "258053_at" "258054_at"
## [13155] "258055_at" "258056_at"
## [13157] "258057_at" "258058_at"
## [13159] "258059_at" "258060_at"
## [13161] "258061_at" "258062_at"
## [13163] "258063_at" "258064_at"
## [13165] "258065_at" "258066_at"
## [13167] "258067_at" "258068_at"
## [13169] "258069_at" "258070_at"
## [13171] "258071_s_at" "258072_at"
## [13173] "258073_at" "258074_at"
## [13175] "258075_at" "258076_at"
## [13177] "258077_at" "258078_at"
## [13179] "258079_at" "258080_at"
## [13181] "258081_at" "258082_at"
## [13183] "258083_at" "258084_at"
## [13185] "258085_at" "258086_at"
## [13187] "258087_at" "258088_at"
## [13189] "258089_at" "258090_at"
## [13191] "258091_at" "258092_at"
## [13193] "258093_at" "258094_at"
## [13195] "258095_at" "258096_at"
## [13197] "258097_at" "258098_at"
## [13199] "258099_at" "258100_at"
## [13201] "258101_at" "258102_at"
## [13203] "258103_at" "258104_at"
## [13205] "258105_at" "258106_at"
## [13207] "258107_at" "258108_at"
## [13209] "258109_at" "258110_at"
## [13211] "258111_at" "258112_at"
## [13213] "258113_at" "258114_at"
## [13215] "258115_at" "258116_at"
## [13217] "258117_at" "258118_at"
## [13219] "258119_at" "258120_at"
## [13221] "258121_s_at" "258122_at"
## [13223] "258123_at" "258124_at"
## [13225] "258125_s_at" "258126_at"
## [13227] "258127_at" "258128_at"
## [13229] "258129_at" "258130_at"
## [13231] "258131_at" "258132_at"
## [13233] "258133_at" "258134_at"
## [13235] "258135_at" "258136_at"
## [13237] "258137_at" "258138_at"
## [13239] "258139_at" "258140_at"
## [13241] "258141_at" "258142_at"
## [13243] "258143_at" "258144_at"
## [13245] "258145_at" "258146_at"
## [13247] "258147_at" "258148_s_at"
## [13249] "258149_at" "258150_at"
## [13251] "258151_at" "258152_at"
## [13253] "258153_at" "258154_at"
## [13255] "258155_at" "258156_at"
## [13257] "258157_at" "258158_at"
## [13259] "258159_at" "258160_at"
## [13261] "258161_at" "258162_at"
## [13263] "258163_at" "258164_at"
## [13265] "258165_at" "258166_at"
## [13267] "258167_at" "258168_at"
## [13269] "258169_at" "258170_at"
## [13271] "258171_at" "258172_at"
## [13273] "258173_at" "258174_at"
## [13275] "258175_at" "258176_at"
## [13277] "258177_at" "258178_at"
## [13279] "258179_at" "258180_at"
## [13281] "258181_at" "258182_at"
## [13283] "258183_at" "258184_at"
## [13285] "258185_at" "258186_s_at"
## [13287] "258187_at" "258188_at"
## [13289] "258189_at" "258190_at"
## [13291] "258191_at" "258192_at"
## [13293] "258193_at" "258194_at"
## [13295] "258195_at" "258196_at"
## [13297] "258197_at" "258198_at"
## [13299] "258199_at" "258200_at"
## [13301] "258201_at" "258202_at"
## [13303] "258203_at" "258204_at"
## [13305] "258205_at" "258206_at"
## [13307] "258207_at" "258208_at"
## [13309] "258209_at" "258210_at"
## [13311] "258211_at" "258212_at"
## [13313] "258213_at" "258214_at"
## [13315] "258215_at" "258216_at"
## [13317] "258217_at" "258218_at"
## [13319] "258219_at" "258220_at"
## [13321] "258221_at" "258222_at"
## [13323] "258223_at" "258224_at"
## [13325] "258225_at" "258226_at"
## [13327] "258227_at" "258228_at"
## [13329] "258229_at" "258230_s_at"
## [13331] "258231_at" "258232_at"
## [13333] "258233_at" "258234_at"
## [13335] "258235_at" "258236_at"
## [13337] "258237_at" "258238_at"
## [13339] "258239_at" "258240_at"
## [13341] "258241_at" "258242_at"
## [13343] "258243_at" "258244_at"
## [13345] "258245_at" "258246_s_at"
## [13347] "258247_at" "258248_at"
## [13349] "258249_s_at" "258250_at"
## [13351] "258251_at" "258252_at"
## [13353] "258253_at" "258254_at"
## [13355] "258255_at" "258256_at"
## [13357] "258257_at" "258258_at"
## [13359] "258259_s_at" "258260_at"
## [13361] "258261_at" "258262_at"
## [13363] "258263_at" "258264_at"
## [13365] "258265_at" "258266_at"
## [13367] "258267_at" "258268_at"
## [13369] "258269_at" "258270_at"
## [13371] "258271_at" "258272_at"
## [13373] "258273_at" "258274_at"
## [13375] "258275_at" "258276_at"
## [13377] "258277_at" "258278_at"
## [13379] "258279_at" "258280_at"
## [13381] "258281_at" "258282_at"
## [13383] "258283_at" "258284_at"
## [13385] "258285_at" "258286_at"
## [13387] "258287_at" "258288_at"
## [13389] "258289_at" "258290_at"
## [13391] "258291_at" "258292_at"
## [13393] "258293_at" "258294_at"
## [13395] "258295_at" "258296_at"
## [13397] "258297_at" "258298_at"
## [13399] "258299_at" "258300_at"
## [13401] "258301_at" "258302_at"
## [13403] "258303_at" "258304_at"
## [13405] "258305_at" "258306_at"
## [13407] "258307_x_at" "258308_at"
## [13409] "258309_at" "258310_at"
## [13411] "258311_at" "258312_at"
## [13413] "258313_at" "258314_at"
## [13415] "258315_at" "258316_at"
## [13417] "258317_at" "258318_at"
## [13419] "258319_at" "258320_at"
## [13421] "258321_at" "258322_at"
## [13423] "258323_at" "258324_at"
## [13425] "258325_at" "258326_at"
## [13427] "258327_at" "258328_at"
## [13429] "258329_at" "258330_at"
## [13431] "258331_at" "258332_at"
## [13433] "258333_at" "258334_at"
## [13435] "258335_at" "258336_at"
## [13437] "258337_at" "258338_at"
## [13439] "258339_at" "258340_at"
## [13441] "258341_at" "258342_at"
## [13443] "258343_at" "258344_at"
## [13445] "258345_at" "258346_at"
## [13447] "258347_at" "258348_at"
## [13449] "258349_at" "258350_at"
## [13451] "258351_at" "258352_at"
## [13453] "258353_s_at" "258354_at"
## [13455] "258355_at" "258356_at"
## [13457] "258357_at" "258358_at"
## [13459] "258359_s_at" "258360_at"
## [13461] "258361_at" "258362_at"
## [13463] "258363_at" "258364_at"
## [13465] "258365_s_at" "258366_at"
## [13467] "258367_at" "258368_at"
## [13469] "258369_at" "258370_at"
## [13471] "258371_at" "258372_at"
## [13473] "258373_at" "258374_at"
## [13475] "258375_at" "258376_at"
## [13477] "258377_at" "258378_at"
## [13479] "258379_at" "258380_at"
## [13481] "258381_at" "258382_at"
## [13483] "258383_at" "258384_at"
## [13485] "258385_at" "258386_at"
## [13487] "258387_at" "258388_at"
## [13489] "258389_at" "258390_at"
## [13491] "258391_at" "258392_at"
## [13493] "258393_at" "258394_at"
## [13495] "258395_at" "258396_at"
## [13497] "258397_at" "258398_at"
## [13499] "258399_at" "258400_at"
## [13501] "258401_at" "258402_at"
## [13503] "258403_at" "258404_at"
## [13505] "258405_at" "258406_at"
## [13507] "258407_at" "258408_at"
## [13509] "258409_at" "258410_at"
## [13511] "258411_at" "258412_at"
## [13513] "258413_at" "258414_at"
## [13515] "258415_at" "258416_at"
## [13517] "258417_at" "258418_at"
## [13519] "258419_at" "258420_at"
## [13521] "258421_at" "258422_at"
## [13523] "258423_at" "258424_at"
## [13525] "258425_at" "258426_at"
## [13527] "258427_at" "258428_at"
## [13529] "258429_at" "258430_at"
## [13531] "258431_at" "258432_at"
## [13533] "258433_at" "258434_at"
## [13535] "258435_at" "258436_at"
## [13537] "258437_at" "258438_at"
## [13539] "258439_at" "258440_at"
## [13541] "258441_at" "258442_at"
## [13543] "258443_at" "258444_at"
## [13545] "258445_at" "258446_at"
## [13547] "258447_at" "258448_at"
## [13549] "258449_s_at" "258450_at"
## [13551] "258451_at" "258452_at"
## [13553] "258453_at" "258454_at"
## [13555] "258455_at" "258456_at"
## [13557] "258457_at" "258458_at"
## [13559] "258459_at" "258460_at"
## [13561] "258461_at" "258462_at"
## [13563] "258463_at" "258464_at"
## [13565] "258465_at" "258466_at"
## [13567] "258467_at" "258468_at"
## [13569] "258469_at" "258470_at"
## [13571] "258471_at" "258472_at"
## [13573] "258473_s_at" "258474_at"
## [13575] "258475_at" "258476_at"
## [13577] "258477_at" "258478_at"
## [13579] "258479_at" "258480_at"
## [13581] "258481_at" "258482_at"
## [13583] "258483_at" "258484_at"
## [13585] "258485_at" "258486_at"
## [13587] "258487_at" "258488_at"
## [13589] "258489_at" "258490_at"
## [13591] "258491_at" "258492_at"
## [13593] "258493_at" "258494_at"
## [13595] "258495_at" "258496_at"
## [13597] "258497_at" "258498_at"
## [13599] "258499_at" "258500_at"
## [13601] "258501_at" "258502_at"
## [13603] "258503_at" "258504_at"
## [13605] "258505_at" "258506_at"
## [13607] "258507_at" "258508_at"
## [13609] "258509_at" "258510_at"
## [13611] "258511_at" "258512_at"
## [13613] "258513_at" "258514_at"
## [13615] "258515_at" "258516_at"
## [13617] "258517_at" "258518_at"
## [13619] "258519_at" "258520_at"
## [13621] "258521_at" "258522_at"
## [13623] "258523_at" "258524_at"
## [13625] "258525_at" "258526_at"
## [13627] "258527_at" "258528_at"
## [13629] "258529_at" "258530_at"
## [13631] "258531_at" "258532_at"
## [13633] "258533_at" "258534_at"
## [13635] "258535_at" "258536_at"
## [13637] "258537_at" "258538_at"
## [13639] "258539_at" "258540_at"
## [13641] "258541_at" "258542_at"
## [13643] "258543_at" "258544_at"
## [13645] "258545_at" "258546_at"
## [13647] "258547_at" "258548_at"
## [13649] "258549_at" "258550_at"
## [13651] "258551_at" "258552_at"
## [13653] "258553_at" "258554_at"
## [13655] "258555_at" "258556_at"
## [13657] "258557_at" "258558_at"
## [13659] "258559_at" "258560_at"
## [13661] "258561_at" "258562_at"
## [13663] "258563_at" "258564_at"
## [13665] "258565_at" "258566_at"
## [13667] "258567_at" "258568_at"
## [13669] "258569_at" "258570_at"
## [13671] "258571_at" "258572_at"
## [13673] "258573_at" "258574_at"
## [13675] "258575_at" "258576_at"
## [13677] "258577_at" "258578_at"
## [13679] "258579_s_at" "258580_at"
## [13681] "258581_at" "258582_at"
## [13683] "258583_at" "258584_at"
## [13685] "258585_at" "258586_s_at"
## [13687] "258587_at" "258588_s_at"
## [13689] "258589_at" "258590_at"
## [13691] "258591_at" "258592_at"
## [13693] "258593_at" "258594_at"
## [13695] "258595_at" "258596_at"
## [13697] "258597_x_at" "258598_at"
## [13699] "258599_at" "258600_at"
## [13701] "258601_at" "258602_at"
## [13703] "258603_at" "258604_at"
## [13705] "258605_at" "258606_at"
## [13707] "258607_at" "258608_at"
## [13709] "258609_at" "258610_at"
## [13711] "258611_at" "258612_at"
## [13713] "258613_at" "258614_at"
## [13715] "258615_at" "258616_at"
## [13717] "258617_at" "258618_at"
## [13719] "258619_at" "258620_at"
## [13721] "258621_at" "258622_at"
## [13723] "258623_at" "258624_at"
## [13725] "258625_at" "258626_at"
## [13727] "258627_at" "258628_at"
## [13729] "258629_at" "258630_at"
## [13731] "258631_at" "258632_s_at"
## [13733] "258633_at" "258634_at"
## [13735] "258635_at" "258636_at"
## [13737] "258637_at" "258638_at"
## [13739] "258639_at" "258640_at"
## [13741] "258641_at" "258642_at"
## [13743] "258643_at" "258644_at"
## [13745] "258645_s_at" "258646_at"
## [13747] "258647_at" "258648_at"
## [13749] "258649_at" "258650_at"
## [13751] "258651_at" "258652_at"
## [13753] "258653_at" "258654_at"
## [13755] "258655_at" "258656_at"
## [13757] "258657_at" "258658_at"
## [13759] "258659_at" "258660_at"
## [13761] "258661_at" "258662_at"
## [13763] "258663_at" "258664_at"
## [13765] "258665_at" "258666_at"
## [13767] "258667_at" "258668_at"
## [13769] "258669_at" "258670_at"
## [13771] "258671_at" "258672_at"
## [13773] "258673_at" "258674_at"
## [13775] "258675_at" "258676_at"
## [13777] "258677_at" "258678_at"
## [13779] "258679_at" "258680_at"
## [13781] "258681_at" "258682_at"
## [13783] "258683_at" "258684_at"
## [13785] "258685_at" "258686_at"
## [13787] "258687_at" "258688_at"
## [13789] "258689_at" "258690_at"
## [13791] "258691_at" "258692_at"
## [13793] "258693_at" "258694_at"
## [13795] "258695_at" "258696_at"
## [13797] "258697_at" "258698_at"
## [13799] "258699_at" "258700_at"
## [13801] "258701_at" "258702_at"
## [13803] "258703_at" "258704_at"
## [13805] "258705_at" "258706_at"
## [13807] "258707_at" "258708_at"
## [13809] "258709_at" "258710_s_at"
## [13811] "258711_at" "258712_s_at"
## [13813] "258713_at" "258714_at"
## [13815] "258715_at" "258716_at"
## [13817] "258717_at" "258718_at"
## [13819] "258719_at" "258720_at"
## [13821] "258721_at" "258722_at"
## [13823] "258723_at" "258724_at"
## [13825] "258725_at" "258726_at"
## [13827] "258727_at" "258728_at"
## [13829] "258729_at" "258730_at"
## [13831] "258731_at" "258732_at"
## [13833] "258733_at" "258734_at"
## [13835] "258735_at" "258736_at"
## [13837] "258737_at" "258738_at"
## [13839] "258739_s_at" "258740_at"
## [13841] "258741_at" "258742_at"
## [13843] "258743_s_at" "258744_at"
## [13845] "258745_at" "258746_at"
## [13847] "258747_at" "258748_at"
## [13849] "258749_at" "258750_at"
## [13851] "258751_at" "258752_at"
## [13853] "258753_at" "258754_at"
## [13855] "258755_at" "258756_at"
## [13857] "258757_at" "258758_at"
## [13859] "258759_at" "258760_at"
## [13861] "258761_at" "258762_at"
## [13863] "258763_s_at" "258764_at"
## [13865] "258765_at" "258766_at"
## [13867] "258767_at" "258768_at"
## [13869] "258769_at" "258770_at"
## [13871] "258771_at" "258772_at"
## [13873] "258773_at" "258774_at"
## [13875] "258775_at" "258776_at"
## [13877] "258777_at" "258778_s_at"
## [13879] "258779_at" "258780_at"
## [13881] "258781_at" "258782_at"
## [13883] "258783_at" "258784_at"
## [13885] "258785_at" "258786_at"
## [13887] "258787_at" "258788_at"
## [13889] "258789_at" "258790_at"
## [13891] "258791_at" "258792_at"
## [13893] "258793_at" "258794_at"
## [13895] "258795_at" "258796_at"
## [13897] "258797_at" "258798_at"
## [13899] "258799_at" "258800_at"
## [13901] "258801_at" "258802_at"
## [13903] "258803_at" "258804_at"
## [13905] "258805_at" "258806_at"
## [13907] "258807_at" "258808_at"
## [13909] "258809_at" "258810_at"
## [13911] "258811_at" "258812_at"
## [13913] "258813_at" "258814_at"
## [13915] "258815_at" "258816_at"
## [13917] "258817_at" "258818_at"
## [13919] "258819_at" "258820_at"
## [13921] "258821_at" "258822_s_at"
## [13923] "258823_at" "258824_at"
## [13925] "258825_at" "258826_at"
## [13927] "258827_at" "258828_at"
## [13929] "258829_at" "258830_at"
## [13931] "258831_at" "258832_at"
## [13933] "258833_at" "258834_at"
## [13935] "258835_at" "258836_at"
## [13937] "258837_at" "258838_at"
## [13939] "258839_at" "258840_at"
## [13941] "258841_at" "258842_at"
## [13943] "258843_at" "258844_at"
## [13945] "258845_at" "258846_at"
## [13947] "258847_at" "258848_at"
## [13949] "258849_at" "258850_at"
## [13951] "258851_at" "258852_at"
## [13953] "258853_at" "258854_at"
## [13955] "258855_at" "258856_at"
## [13957] "258857_at" "258858_at"
## [13959] "258859_at" "258860_at"
## [13961] "258861_at" "258862_at"
## [13963] "258863_at" "258864_at"
## [13965] "258865_at" "258866_at"
## [13967] "258867_at" "258868_at"
## [13969] "258869_at" "258870_at"
## [13971] "258871_at" "258872_at"
## [13973] "258873_at" "258874_at"
## [13975] "258875_at" "258876_at"
## [13977] "258877_at" "258878_at"
## [13979] "258879_at" "258880_at"
## [13981] "258881_at" "258882_at"
## [13983] "258883_at" "258884_at"
## [13985] "258885_at" "258886_at"
## [13987] "258887_at" "258888_at"
## [13989] "258889_at" "258890_at"
## [13991] "258891_at" "258892_at"
## [13993] "258893_at" "258894_at"
## [13995] "258895_at" "258896_at"
## [13997] "258897_at" "258898_at"
## [13999] "258899_at" "258900_at"
## [14001] "258901_at" "258902_at"
## [14003] "258903_at" "258904_at"
## [14005] "258905_at" "258906_at"
## [14007] "258907_at" "258908_at"
## [14009] "258909_at" "258910_at"
## [14011] "258911_at" "258912_at"
## [14013] "258913_at" "258914_at"
## [14015] "258915_at" "258916_at"
## [14017] "258917_at" "258918_at"
## [14019] "258919_at" "258920_at"
## [14021] "258921_at" "258922_at"
## [14023] "258923_at" "258924_at"
## [14025] "258925_at" "258926_s_at"
## [14027] "258927_at" "258928_at"
## [14029] "258929_at" "258930_at"
## [14031] "258931_at" "258932_at"
## [14033] "258933_at" "258934_at"
## [14035] "258935_at" "258936_s_at"
## [14037] "258937_at" "258938_at"
## [14039] "258939_at" "258940_at"
## [14041] "258941_at" "258942_at"
## [14043] "258943_at" "258944_at"
## [14045] "258945_at" "258946_at"
## [14047] "258947_at" "258948_at"
## [14049] "258949_at" "258950_at"
## [14051] "258951_at" "258952_at"
## [14053] "258953_at" "258954_at"
## [14055] "258955_s_at" "258956_at"
## [14057] "258957_at" "258958_at"
## [14059] "258959_at" "258960_at"
## [14061] "258961_at" "258962_at"
## [14063] "258963_at" "258964_at"
## [14065] "258965_at" "258966_at"
## [14067] "258967_at" "258968_at"
## [14069] "258969_at" "258970_at"
## [14071] "258971_at" "258972_at"
## [14073] "258973_at" "258974_at"
## [14075] "258975_at" "258976_at"
## [14077] "258977_s_at" "258978_at"
## [14079] "258979_at" "258980_at"
## [14081] "258981_at" "258982_at"
## [14083] "258983_at" "258984_at"
## [14085] "258985_at" "258986_at"
## [14087] "258987_at" "258988_at"
## [14089] "258989_at" "258990_at"
## [14091] "258991_at" "258992_at"
## [14093] "258993_at" "258994_at"
## [14095] "258995_at" "258996_at"
## [14097] "258997_at" "258998_at"
## [14099] "258999_at" "259000_at"
## [14101] "259001_at" "259002_at"
## [14103] "259003_at" "259004_at"
## [14105] "259005_at" "259006_at"
## [14107] "259007_at" "259008_at"
## [14109] "259009_at" "259010_at"
## [14111] "259011_s_at" "259012_at"
## [14113] "259013_at" "259014_at"
## [14115] "259015_at" "259016_at"
## [14117] "259017_at" "259018_at"
## [14119] "259019_at" "259020_at"
## [14121] "259021_at" "259022_at"
## [14123] "259023_at" "259024_at"
## [14125] "259025_at" "259026_at"
## [14127] "259027_at" "259028_at"
## [14129] "259029_at" "259030_at"
## [14131] "259031_at" "259032_at"
## [14133] "259033_at" "259034_at"
## [14135] "259035_at" "259036_at"
## [14137] "259037_at" "259038_at"
## [14139] "259039_at" "259040_at"
## [14141] "259041_at" "259042_at"
## [14143] "259043_at" "259044_at"
## [14145] "259045_at" "259046_at"
## [14147] "259047_at" "259048_at"
## [14149] "259049_at" "259050_at"
## [14151] "259051_at" "259052_at"
## [14153] "259053_at" "259054_at"
## [14155] "259055_at" "259056_at"
## [14157] "259057_at" "259058_at"
## [14159] "259059_at" "259060_at"
## [14161] "259061_at" "259062_at"
## [14163] "259063_at" "259064_at"
## [14165] "259065_at" "259066_at"
## [14167] "259067_at" "259068_at"
## [14169] "259069_at" "259070_at"
## [14171] "259071_at" "259072_at"
## [14173] "259073_at" "259074_at"
## [14175] "259075_at" "259076_at"
## [14177] "259077_s_at" "259078_at"
## [14179] "259079_at" "259080_at"
## [14181] "259081_at" "259082_at"
## [14183] "259083_at" "259084_at"
## [14185] "259085_at" "259086_at"
## [14187] "259087_at" "259088_at"
## [14189] "259089_at" "259090_at"
## [14191] "259091_at" "259092_at"
## [14193] "259093_at" "259094_at"
## [14195] "259095_at" "259096_at"
## [14197] "259097_at" "259098_at"
## [14199] "259099_at" "259100_at"
## [14201] "259101_at" "259102_at"
## [14203] "259103_at" "259104_at"
## [14205] "259105_at" "259106_at"
## [14207] "259107_at" "259108_at"
## [14209] "259109_at" "259110_at"
## [14211] "259111_at" "259112_at"
## [14213] "259113_at" "259114_at"
## [14215] "259115_at" "259116_at"
## [14217] "259117_at" "259118_at"
## [14219] "259119_at" "259120_at"
## [14221] "259121_at" "259122_at"
## [14223] "259123_at" "259124_at"
## [14225] "259125_at" "259126_at"
## [14227] "259127_at" "259128_at"
## [14229] "259129_at" "259130_at"
## [14231] "259131_at" "259132_at"
## [14233] "259133_at" "259134_at"
## [14235] "259135_at" "259136_at"
## [14237] "259137_at" "259138_s_at"
## [14239] "259139_at" "259140_at"
## [14241] "259141_at" "259142_at"
## [14243] "259143_at" "259144_at"
## [14245] "259145_at" "259146_at"
## [14247] "259147_at" "259148_at"
## [14249] "259149_at" "259150_at"
## [14251] "259151_at" "259152_at"
## [14253] "259153_at" "259154_at"
## [14255] "259155_at" "259156_at"
## [14257] "259157_at" "259158_at"
## [14259] "259159_at" "259160_at"
## [14261] "259161_at" "259162_at"
## [14263] "259163_at" "259164_at"
## [14265] "259165_at" "259166_at"
## [14267] "259167_at" "259168_at"
## [14269] "259169_at" "259170_at"
## [14271] "259171_at" "259172_at"
## [14273] "259173_at" "259174_at"
## [14275] "259175_at" "259176_at"
## [14277] "259177_at" "259178_at"
## [14279] "259179_at" "259180_at"
## [14281] "259181_at" "259182_at"
## [14283] "259183_at" "259184_at"
## [14285] "259185_at" "259186_at"
## [14287] "259187_at" "259188_at"
## [14289] "259189_at" "259190_at"
## [14291] "259191_at" "259192_at"
## [14293] "259193_at" "259194_at"
## [14295] "259195_at" "259196_at"
## [14297] "259197_at" "259198_at"
## [14299] "259199_at" "259200_at"
## [14301] "259201_at" "259202_at"
## [14303] "259203_at" "259204_s_at"
## [14305] "259205_at" "259206_at"
## [14307] "259207_at" "259208_at"
## [14309] "259209_at" "259210_at"
## [14311] "259211_at" "259212_at"
## [14313] "259213_at" "259214_at"
## [14315] "259215_at" "259216_at"
## [14317] "259217_at" "259218_at"
## [14319] "259219_at" "259220_at"
## [14321] "259221_s_at" "259222_at"
## [14323] "259223_at" "259224_at"
## [14325] "259225_at" "259226_at"
## [14327] "259227_at" "259228_at"
## [14329] "259229_at" "259230_at"
## [14331] "259231_at" "259232_at"
## [14333] "259233_at" "259234_at"
## [14335] "259235_at" "259236_at"
## [14337] "259237_at" "259238_at"
## [14339] "259239_at" "259240_at"
## [14341] "259241_at" "259242_at"
## [14343] "259243_at" "259244_at"
## [14345] "259245_at" "259246_s_at"
## [14347] "259247_at" "259248_at"
## [14349] "259249_at" "259250_at"
## [14351] "259251_at" "259252_at"
## [14353] "259253_at" "259254_at"
## [14355] "259255_at" "259256_at"
## [14357] "259257_at" "259258_at"
## [14359] "259259_at" "259260_at"
## [14361] "259261_at" "259262_at"
## [14363] "259263_at" "259264_at"
## [14365] "259265_at" "259266_at"
## [14367] "259267_at" "259268_at"
## [14369] "259269_at" "259270_at"
## [14371] "259271_at" "259272_at"
## [14373] "259273_s_at" "259274_at"
## [14375] "259275_at" "259276_at"
## [14377] "259277_at" "259278_at"
## [14379] "259279_at" "259280_at"
## [14381] "259281_at" "259282_at"
## [14383] "259283_at" "259284_at"
## [14385] "259285_at" "259286_at"
## [14387] "259287_at" "259288_at"
## [14389] "259289_at" "259290_at"
## [14391] "259291_at" "259292_at"
## [14393] "259293_at" "259294_at"
## [14395] "259295_at" "259296_at"
## [14397] "259297_at" "259298_at"
## [14399] "259299_at" "259300_at"
## [14401] "259301_at" "259302_at"
## [14403] "259303_at" "259304_at"
## [14405] "259305_at" "259306_at"
## [14407] "259307_at" "259308_at"
## [14409] "259309_at" "259310_s_at"
## [14411] "259311_at" "259312_at"
## [14413] "259313_at" "259314_at"
## [14415] "259315_at" "259316_at"
## [14417] "259317_at" "259318_at"
## [14419] "259319_at" "259320_at"
## [14421] "259321_at" "259322_at"
## [14423] "259323_at" "259324_at"
## [14425] "259325_at" "259326_at"
## [14427] "259327_at" "259328_at"
## [14429] "259329_at" "259330_at"
## [14431] "259331_at" "259332_at"
## [14433] "259333_at" "259334_at"
## [14435] "259335_s_at" "259336_at"
## [14437] "259337_at" "259338_at"
## [14439] "259339_at" "259340_at"
## [14441] "259341_at" "259342_at"
## [14443] "259343_s_at" "259344_at"
## [14445] "259345_s_at" "259346_at"
## [14447] "259347_at" "259348_at"
## [14449] "259349_at" "259350_at"
## [14451] "259351_at" "259352_at"
## [14453] "259353_at" "259354_at"
## [14455] "259355_at" "259356_at"
## [14457] "259357_at" "259358_at"
## [14459] "259359_at" "259360_at"
## [14461] "259361_at" "259362_s_at"
## [14463] "259363_at" "259364_at"
## [14465] "259365_at" "259366_at"
## [14467] "259367_at" "259368_at"
## [14469] "259369_s_at" "259370_at"
## [14471] "259371_at" "259372_at"
## [14473] "259373_at" "259374_at"
## [14475] "259375_at" "259376_at"
## [14477] "259377_at" "259378_at"
## [14479] "259379_at" "259380_at"
## [14481] "259381_s_at" "259382_s_at"
## [14483] "259383_at" "259384_at"
## [14485] "259385_at" "259386_at"
## [14487] "259387_at" "259388_at"
## [14489] "259389_at" "259390_at"
## [14491] "259391_s_at" "259392_at"
## [14493] "259393_at" "259394_at"
## [14495] "259395_at" "259396_at"
## [14497] "259397_at" "259398_at"
## [14499] "259399_at" "259400_at"
## [14501] "259401_at" "259402_at"
## [14503] "259403_at" "259404_at"
## [14505] "259405_at" "259406_at"
## [14507] "259407_at" "259408_at"
## [14509] "259409_at" "259410_at"
## [14511] "259411_at" "259412_at"
## [14513] "259413_at" "259414_at"
## [14515] "259415_at" "259416_at"
## [14517] "259417_at" "259418_at"
## [14519] "259419_at" "259420_at"
## [14521] "259421_at" "259422_at"
## [14523] "259423_at" "259424_at"
## [14525] "259425_at" "259426_at"
## [14527] "259427_at" "259428_at"
## [14529] "259429_at" "259430_at"
## [14531] "259431_at" "259432_at"
## [14533] "259433_at" "259434_at"
## [14535] "259435_at" "259436_at"
## [14537] "259437_at" "259438_at"
## [14539] "259439_at" "259440_at"
## [14541] "259441_at" "259442_at"
## [14543] "259443_at" "259444_at"
## [14545] "259445_at" "259446_at"
## [14547] "259447_s_at" "259448_at"
## [14549] "259449_at" "259450_at"
## [14551] "259451_at" "259452_at"
## [14553] "259453_at" "259454_at"
## [14555] "259455_x_at" "259456_s_at"
## [14557] "259457_at" "259458_at"
## [14559] "259459_at" "259460_at"
## [14561] "259461_at" "259462_at"
## [14563] "259463_at" "259464_at"
## [14565] "259465_at" "259466_at"
## [14567] "259467_at" "259468_at"
## [14569] "259469_at" "259470_at"
## [14571] "259471_at" "259472_at"
## [14573] "259473_at" "259474_at"
## [14575] "259475_at" "259476_at"
## [14577] "259477_at" "259478_at"
## [14579] "259479_at" "259480_at"
## [14581] "259481_at" "259482_at"
## [14583] "259483_at" "259484_at"
## [14585] "259485_at" "259486_at"
## [14587] "259487_at" "259488_at"
## [14589] "259489_at" "259490_at"
## [14591] "259491_at" "259492_at"
## [14593] "259493_at" "259494_at"
## [14595] "259495_at" "259496_at"
## [14597] "259497_at" "259498_at"
## [14599] "259499_at" "259500_at"
## [14601] "259501_at" "259502_at"
## [14603] "259503_at" "259504_at"
## [14605] "259505_at" "259506_at"
## [14607] "259507_at" "259508_at"
## [14609] "259509_at" "259510_at"
## [14611] "259511_at" "259512_at"
## [14613] "259513_at" "259514_at"
## [14615] "259515_at" "259516_at"
## [14617] "259517_at" "259518_at"
## [14619] "259519_at" "259520_at"
## [14621] "259521_at" "259522_at"
## [14623] "259523_at" "259524_at"
## [14625] "259525_at" "259526_at"
## [14627] "259527_at" "259528_at"
## [14629] "259529_at" "259530_at"
## [14631] "259531_at" "259532_at"
## [14633] "259533_at" "259534_at"
## [14635] "259535_at" "259536_s_at"
## [14637] "259537_at" "259538_at"
## [14639] "259539_at" "259540_at"
## [14641] "259541_at" "259542_at"
## [14643] "259543_at" "259544_at"
## [14645] "259545_at" "259546_at"
## [14647] "259547_at" "259548_at"
## [14649] "259549_at" "259550_at"
## [14651] "259551_at" "259552_at"
## [14653] "259553_x_at" "259554_at"
## [14655] "259555_at" "259556_at"
## [14657] "259557_at" "259558_at"
## [14659] "259559_at" "259560_at"
## [14661] "259561_at" "259562_at"
## [14663] "259563_s_at" "259564_at"
## [14665] "259565_at" "259566_at"
## [14667] "259567_at" "259568_at"
## [14669] "259569_at" "259570_at"
## [14671] "259571_at" "259572_at"
## [14673] "259573_at" "259574_at"
## [14675] "259575_at" "259576_at"
## [14677] "259577_at" "259578_at"
## [14679] "259579_at" "259580_at"
## [14681] "259581_at" "259582_at"
## [14683] "259583_at" "259584_at"
## [14685] "259585_at" "259586_at"
## [14687] "259587_at" "259588_at"
## [14689] "259589_at" "259590_at"
## [14691] "259591_at" "259592_at"
## [14693] "259593_at" "259594_at"
## [14695] "259595_at" "259596_at"
## [14697] "259597_at" "259598_at"
## [14699] "259599_at" "259600_at"
## [14701] "259601_s_at" "259602_at"
## [14703] "259603_at" "259604_at"
## [14705] "259605_at" "259606_at"
## [14707] "259607_at" "259608_at"
## [14709] "259609_at" "259610_at"
## [14711] "259611_at" "259612_at"
## [14713] "259613_at" "259614_at"
## [14715] "259615_at" "259616_at"
## [14717] "259617_at" "259618_at"
## [14719] "259619_at" "259620_s_at"
## [14721] "259621_at" "259622_at"
## [14723] "259623_at" "259624_at"
## [14725] "259625_at" "259626_at"
## [14727] "259627_at" "259628_at"
## [14729] "259629_at" "259630_at"
## [14731] "259631_at" "259632_at"
## [14733] "259633_at" "259634_at"
## [14735] "259635_at" "259636_at"
## [14737] "259637_at" "259638_at"
## [14739] "259639_at" "259640_at"
## [14741] "259641_at" "259642_at"
## [14743] "259643_at" "259644_at"
## [14745] "259645_at" "259646_at"
## [14747] "259647_at" "259648_at"
## [14749] "259649_at" "259650_at"
## [14751] "259651_at" "259652_at"
## [14753] "259653_at" "259654_at"
## [14755] "259655_at" "259656_at"
## [14757] "259657_at" "259658_at"
## [14759] "259659_at" "259660_at"
## [14761] "259661_at" "259662_at"
## [14763] "259663_at" "259664_at"
## [14765] "259665_at" "259666_at"
## [14767] "259667_at" "259668_at"
## [14769] "259669_at" "259670_at"
## [14771] "259671_at" "259672_at"
## [14773] "259673_at" "259674_at"
## [14775] "259675_at" "259676_at"
## [14777] "259677_at" "259678_at"
## [14779] "259679_at" "259680_at"
## [14781] "259681_at" "259682_at"
## [14783] "259683_at" "259684_at"
## [14785] "259685_at" "259686_at"
## [14787] "259687_at" "259688_at"
## [14789] "259689_x_at" "259690_at"
## [14791] "259691_at" "259692_at"
## [14793] "259693_at" "259694_at"
## [14795] "259695_at" "259696_at"
## [14797] "259697_at" "259698_at"
## [14799] "259699_at" "259700_at"
## [14801] "259701_at" "259702_at"
## [14803] "259703_at" "259704_at"
## [14805] "259705_at" "259706_at"
## [14807] "259707_at" "259708_at"
## [14809] "259709_at" "259710_at"
## [14811] "259711_at" "259712_at"
## [14813] "259713_at" "259714_at"
## [14815] "259715_at" "259716_at"
## [14817] "259717_at" "259718_at"
## [14819] "259719_at" "259720_at"
## [14821] "259721_at" "259722_at"
## [14823] "259723_at" "259724_at"
## [14825] "259725_at" "259726_at"
## [14827] "259727_at" "259728_at"
## [14829] "259729_at" "259730_at"
## [14831] "259731_at" "259732_at"
## [14833] "259733_at" "259734_at"
## [14835] "259735_at" "259736_at"
## [14837] "259737_at" "259738_at"
## [14839] "259739_at" "259740_at"
## [14841] "259741_at" "259742_at"
## [14843] "259743_at" "259744_at"
## [14845] "259745_at" "259746_at"
## [14847] "259747_at" "259748_at"
## [14849] "259749_at" "259750_at"
## [14851] "259751_at" "259752_at"
## [14853] "259753_at" "259754_at"
## [14855] "259755_at" "259756_at"
## [14857] "259757_at" "259758_s_at"
## [14859] "259759_at" "259760_at"
## [14861] "259761_at" "259762_at"
## [14863] "259763_at" "259764_at"
## [14865] "259765_at" "259766_at"
## [14867] "259767_s_at" "259768_at"
## [14869] "259769_at" "259770_s_at"
## [14871] "259771_at" "259772_at"
## [14873] "259773_at" "259774_at"
## [14875] "259775_at" "259776_s_at"
## [14877] "259777_at" "259778_at"
## [14879] "259779_s_at" "259780_at"
## [14881] "259781_at" "259782_at"
## [14883] "259783_at" "259784_at"
## [14885] "259785_at" "259786_at"
## [14887] "259787_at" "259788_at"
## [14889] "259789_at" "259790_s_at"
## [14891] "259791_at" "259792_at"
## [14893] "259793_at" "259794_at"
## [14895] "259795_at" "259796_at"
## [14897] "259797_at" "259798_at"
## [14899] "259799_at" "259800_at"
## [14901] "259801_at" "259802_at"
## [14903] "259803_at" "259804_at"
## [14905] "259805_at" "259806_at"
## [14907] "259807_at" "259808_at"
## [14909] "259809_at" "259810_at"
## [14911] "259811_at" "259812_at"
## [14913] "259813_at" "259814_at"
## [14915] "259815_at" "259816_at"
## [14917] "259817_at" "259818_at"
## [14919] "259819_at" "259820_at"
## [14921] "259821_at" "259822_at"
## [14923] "259823_at" "259824_at"
## [14925] "259825_at" "259826_at"
## [14927] "259827_at" "259828_at"
## [14929] "259829_at" "259830_at"
## [14931] "259831_at" "259832_at"
## [14933] "259833_at" "259834_at"
## [14935] "259835_at" "259836_at"
## [14937] "259837_at" "259838_at"
## [14939] "259839_at" "259840_at"
## [14941] "259841_at" "259842_at"
## [14943] "259843_at" "259844_at"
## [14945] "259845_at" "259846_at"
## [14947] "259847_at" "259848_at"
## [14949] "259849_at" "259850_at"
## [14951] "259851_at" "259852_at"
## [14953] "259853_at" "259854_at"
## [14955] "259855_at" "259856_at"
## [14957] "259857_at" "259858_at"
## [14959] "259859_at" "259860_at"
## [14961] "259861_at" "259862_at"
## [14963] "259863_at" "259864_at"
## [14965] "259865_at" "259866_at"
## [14967] "259867_at" "259868_at"
## [14969] "259869_at" "259870_at"
## [14971] "259871_at" "259872_at"
## [14973] "259873_s_at" "259874_at"
## [14975] "259875_s_at" "259876_at"
## [14977] "259877_at" "259878_at"
## [14979] "259879_at" "259880_at"
## [14981] "259881_at" "259882_at"
## [14983] "259883_at" "259884_at"
## [14985] "259885_at" "259886_at"
## [14987] "259887_at" "259888_at"
## [14989] "259889_at" "259890_at"
## [14991] "259891_at" "259892_at"
## [14993] "259893_at" "259894_at"
## [14995] "259895_at" "259896_at"
## [14997] "259897_at" "259898_at"
## [14999] "259899_at" "259900_at"
## [15001] "259901_at" "259902_at"
## [15003] "259903_at" "259904_at"
## [15005] "259905_s_at" "259906_at"
## [15007] "259907_at" "259908_at"
## [15009] "259909_at" "259910_at"
## [15011] "259911_at" "259912_at"
## [15013] "259913_at" "259914_at"
## [15015] "259915_at" "259916_at"
## [15017] "259917_at" "259918_at"
## [15019] "259919_at" "259920_at"
## [15021] "259921_at" "259922_at"
## [15023] "259923_at" "259924_at"
## [15025] "259925_at" "259926_at"
## [15027] "259927_at" "259928_at"
## [15029] "259929_at" "259930_at"
## [15031] "259931_at" "259932_at"
## [15033] "259933_at" "259934_at"
## [15035] "259935_at" "259936_at"
## [15037] "259937_s_at" "259938_at"
## [15039] "259939_s_at" "259940_at"
## [15041] "259941_s_at" "259942_at"
## [15043] "259943_at" "259944_at"
## [15045] "259945_at" "259946_at"
## [15047] "259947_at" "259948_at"
## [15049] "259949_at" "259950_at"
## [15051] "259951_at" "259952_at"
## [15053] "259953_at" "259954_at"
## [15055] "259955_s_at" "259956_at"
## [15057] "259957_at" "259958_at"
## [15059] "259959_at" "259960_at"
## [15061] "259961_at" "259962_at"
## [15063] "259963_at" "259964_at"
## [15065] "259965_at" "259966_at"
## [15067] "259967_at" "259968_at"
## [15069] "259969_at" "259970_at"
## [15071] "259971_at" "259972_at"
## [15073] "259973_at" "259974_at"
## [15075] "259975_at" "259976_at"
## [15077] "259977_at" "259978_at"
## [15079] "259979_at" "259980_at"
## [15081] "259981_at" "259982_at"
## [15083] "259983_at" "259984_at"
## [15085] "259985_at" "259986_at"
## [15087] "259987_at" "259988_at"
## [15089] "259989_at" "259990_s_at"
## [15091] "259991_at" "259992_at"
## [15093] "259993_at" "259994_at"
## [15095] "259995_at" "259996_at"
## [15097] "259997_at" "259998_at"
## [15099] "259999_at" "260000_at"
## [15101] "260001_at" "260002_at"
## [15103] "260003_at" "260004_at"
## [15105] "260005_at" "260006_at"
## [15107] "260007_at" "260008_at"
## [15109] "260009_at" "260010_at"
## [15111] "260011_at" "260012_at"
## [15113] "260013_at" "260014_at"
## [15115] "260015_at" "260016_at"
## [15117] "260017_at" "260018_at"
## [15119] "260019_at" "260020_at"
## [15121] "260021_at" "260022_at"
## [15123] "260023_at" "260024_at"
## [15125] "260025_at" "260026_at"
## [15127] "260027_at" "260028_at"
## [15129] "260029_at" "260030_at"
## [15131] "260031_at" "260032_at"
## [15133] "260033_at" "260034_at"
## [15135] "260035_at" "260036_at"
## [15137] "260037_at" "260038_at"
## [15139] "260039_at" "260040_at"
## [15141] "260041_at" "260042_at"
## [15143] "260043_at" "260044_at"
## [15145] "260045_at" "260046_at"
## [15147] "260047_at" "260048_at"
## [15149] "260049_at" "260050_at"
## [15151] "260051_at" "260052_at"
## [15153] "260053_at" "260054_at"
## [15155] "260055_at" "260056_at"
## [15157] "260057_at" "260058_at"
## [15159] "260059_at" "260060_at"
## [15161] "260061_at" "260062_at"
## [15163] "260063_at" "260064_at"
## [15165] "260065_at" "260066_at"
## [15167] "260067_at" "260068_at"
## [15169] "260069_at" "260070_at"
## [15171] "260071_at" "260072_at"
## [15173] "260073_at" "260074_at"
## [15175] "260075_at" "260076_at"
## [15177] "260077_at" "260078_at"
## [15179] "260079_s_at" "260080_at"
## [15181] "260081_at" "260082_at"
## [15183] "260083_at" "260084_at"
## [15185] "260085_at" "260086_at"
## [15187] "260087_at" "260088_at"
## [15189] "260089_at" "260090_at"
## [15191] "260091_at" "260092_at"
## [15193] "260093_at" "260094_at"
## [15195] "260095_at" "260096_at"
## [15197] "260097_at" "260098_at"
## [15199] "260099_at" "260100_at"
## [15201] "260101_at" "260102_at"
## [15203] "260103_at" "260104_x_at"
## [15205] "260105_at" "260106_at"
## [15207] "260107_at" "260108_at"
## [15209] "260109_at" "260110_at"
## [15211] "260111_at" "260112_at"
## [15213] "260113_at" "260114_at"
## [15215] "260115_at" "260116_at"
## [15217] "260117_at" "260118_s_at"
## [15219] "260119_at" "260120_at"
## [15221] "260121_at" "260122_at"
## [15223] "260123_at" "260124_at"
## [15225] "260125_at" "260126_at"
## [15227] "260127_at" "260128_at"
## [15229] "260129_at" "260130_s_at"
## [15231] "260131_at" "260132_s_at"
## [15233] "260133_at" "260134_at"
## [15235] "260135_at" "260136_at"
## [15237] "260137_at" "260138_at"
## [15239] "260139_at" "260140_at"
## [15241] "260141_at" "260142_at"
## [15243] "260143_at" "260144_at"
## [15245] "260145_at" "260146_at"
## [15247] "260147_at" "260148_at"
## [15249] "260149_at" "260150_at"
## [15251] "260151_at" "260152_at"
## [15253] "260153_at" "260154_at"
## [15255] "260155_at" "260156_at"
## [15257] "260157_at" "260158_at"
## [15259] "260159_at" "260160_at"
## [15261] "260161_at" "260162_at"
## [15263] "260163_at" "260164_at"
## [15265] "260165_at" "260166_at"
## [15267] "260167_at" "260168_at"
## [15269] "260169_at" "260170_at"
## [15271] "260171_at" "260172_s_at"
## [15273] "260173_at" "260174_at"
## [15275] "260175_at" "260176_at"
## [15277] "260177_at" "260178_at"
## [15279] "260179_at" "260180_at"
## [15281] "260181_at" "260182_at"
## [15283] "260183_at" "260184_s_at"
## [15285] "260185_at" "260186_at"
## [15287] "260187_at" "260188_at"
## [15289] "260189_at" "260190_at"
## [15291] "260191_at" "260192_at"
## [15293] "260193_at" "260194_at"
## [15295] "260195_at" "260196_at"
## [15297] "260197_at" "260198_at"
## [15299] "260199_at" "260200_at"
## [15301] "260201_at" "260202_at"
## [15303] "260203_at" "260204_at"
## [15305] "260205_at" "260206_at"
## [15307] "260207_at" "260208_s_at"
## [15309] "260209_at" "260210_at"
## [15311] "260211_at" "260212_at"
## [15313] "260213_at" "260214_at"
## [15315] "260215_at" "260216_at"
## [15317] "260217_at" "260218_at"
## [15319] "260219_at" "260220_at"
## [15321] "260221_at" "260222_at"
## [15323] "260223_at" "260224_at"
## [15325] "260225_at" "260226_at"
## [15327] "260227_at" "260228_at"
## [15329] "260229_at" "260230_at"
## [15331] "260231_at" "260232_at"
## [15333] "260233_at" "260234_at"
## [15335] "260235_at" "260236_at"
## [15337] "260237_at" "260238_at"
## [15339] "260239_at" "260240_at"
## [15341] "260241_at" "260242_at"
## [15343] "260243_at" "260244_at"
## [15345] "260245_at" "260246_at"
## [15347] "260247_at" "260248_at"
## [15349] "260249_s_at" "260250_at"
## [15351] "260251_at" "260252_at"
## [15353] "260253_at" "260254_at"
## [15355] "260255_at" "260256_at"
## [15357] "260257_at" "260258_at"
## [15359] "260259_at" "260260_at"
## [15361] "260261_at" "260262_at"
## [15363] "260263_at" "260264_at"
## [15365] "260265_at" "260266_at"
## [15367] "260267_at" "260268_at"
## [15369] "260269_at" "260270_at"
## [15371] "260271_at" "260272_at"
## [15373] "260273_at" "260274_at"
## [15375] "260275_at" "260276_at"
## [15377] "260277_at" "260278_at"
## [15379] "260279_at" "260280_at"
## [15381] "260281_at" "260282_at"
## [15383] "260283_at" "260284_at"
## [15385] "260285_at" "260286_at"
## [15387] "260287_at" "260288_at"
## [15389] "260289_at" "260290_at"
## [15391] "260291_at" "260292_at"
## [15393] "260293_at" "260294_at"
## [15395] "260295_at" "260296_at"
## [15397] "260297_at" "260298_at"
## [15399] "260299_at" "260300_at"
## [15401] "260301_at" "260302_at"
## [15403] "260303_at" "260304_at"
## [15405] "260305_at" "260306_at"
## [15407] "260307_at" "260308_at"
## [15409] "260309_at" "260310_at"
## [15411] "260311_at" "260312_at"
## [15413] "260313_at" "260314_at"
## [15415] "260315_at" "260316_at"
## [15417] "260317_at" "260318_at"
## [15419] "260319_at" "260320_at"
## [15421] "260321_at" "260322_at"
## [15423] "260323_at" "260324_at"
## [15425] "260325_at" "260326_at"
## [15427] "260327_at" "260328_at"
## [15429] "260329_at" "260330_at"
## [15431] "260331_at" "260332_at"
## [15433] "260333_at" "260334_at"
## [15435] "260335_at" "260336_at"
## [15437] "260337_at" "260338_at"
## [15439] "260339_at" "260340_at"
## [15441] "260341_at" "260342_at"
## [15443] "260343_at" "260344_at"
## [15445] "260345_at" "260346_at"
## [15447] "260347_at" "260348_at"
## [15449] "260349_at" "260350_at"
## [15451] "260351_at" "260352_at"
## [15453] "260353_at" "260354_at"
## [15455] "260355_at" "260356_at"
## [15457] "260357_at" "260358_at"
## [15459] "260359_at" "260360_at"
## [15461] "260361_at" "260362_at"
## [15463] "260363_at" "260364_at"
## [15465] "260365_at" "260366_at"
## [15467] "260367_at" "260368_at"
## [15469] "260369_at" "260370_at"
## [15471] "260371_at" "260372_at"
## [15473] "260373_at" "260374_at"
## [15475] "260375_at" "260376_at"
## [15477] "260377_at" "260378_at"
## [15479] "260379_at" "260380_at"
## [15481] "260381_at" "260382_at"
## [15483] "260383_s_at" "260384_at"
## [15485] "260385_at" "260386_at"
## [15487] "260387_at" "260388_at"
## [15489] "260389_at" "260390_at"
## [15491] "260391_at" "260392_at"
## [15493] "260393_at" "260394_at"
## [15495] "260395_at" "260396_at"
## [15497] "260397_at" "260398_at"
## [15499] "260399_at" "260400_at"
## [15501] "260401_at" "260402_at"
## [15503] "260403_at" "260404_at"
## [15505] "260405_at" "260406_at"
## [15507] "260407_at" "260408_at"
## [15509] "260409_at" "260410_at"
## [15511] "260411_at" "260412_at"
## [15513] "260413_at" "260414_at"
## [15515] "260415_at" "260416_at"
## [15517] "260417_at" "260418_s_at"
## [15519] "260419_at" "260420_at"
## [15521] "260421_at" "260422_at"
## [15523] "260423_at" "260424_at"
## [15525] "260425_at" "260426_at"
## [15527] "260427_at" "260428_at"
## [15529] "260429_at" "260430_at"
## [15531] "260431_at" "260432_at"
## [15533] "260433_at" "260434_at"
## [15535] "260435_at" "260436_at"
## [15537] "260437_at" "260438_at"
## [15539] "260439_at" "260440_at"
## [15541] "260441_at" "260442_at"
## [15543] "260443_at" "260444_at"
## [15545] "260445_at" "260446_at"
## [15547] "260447_at" "260448_at"
## [15549] "260449_at" "260450_at"
## [15551] "260451_at" "260452_at"
## [15553] "260453_s_at" "260454_at"
## [15555] "260455_at" "260456_at"
## [15557] "260457_at" "260458_at"
## [15559] "260459_at" "260460_at"
## [15561] "260461_at" "260462_at"
## [15563] "260463_at" "260464_at"
## [15565] "260465_at" "260466_at"
## [15567] "260467_at" "260468_at"
## [15569] "260469_at" "260470_at"
## [15571] "260471_at" "260472_at"
## [15573] "260473_at" "260474_at"
## [15575] "260475_at" "260476_at"
## [15577] "260477_at" "260478_at"
## [15579] "260479_at" "260480_at"
## [15581] "260481_at" "260482_at"
## [15583] "260483_at" "260484_at"
## [15585] "260485_at" "260486_at"
## [15587] "260487_at" "260488_at"
## [15589] "260489_at" "260490_at"
## [15591] "260491_at" "260492_at"
## [15593] "260493_at" "260494_at"
## [15595] "260495_at" "260496_at"
## [15597] "260497_at" "260498_at"
## [15599] "260499_at" "260500_at"
## [15601] "260501_at" "260502_at"
## [15603] "260503_at" "260504_at"
## [15605] "260505_at" "260506_at"
## [15607] "260507_at" "260508_at"
## [15609] "260509_at" "260510_at"
## [15611] "260511_at" "260512_at"
## [15613] "260513_at" "260514_at"
## [15615] "260515_at" "260516_at"
## [15617] "260517_at" "260518_at"
## [15619] "260519_at" "260520_at"
## [15621] "260521_at" "260522_x_at"
## [15623] "260523_at" "260524_at"
## [15625] "260525_at" "260526_at"
## [15627] "260527_at" "260528_at"
## [15629] "260529_at" "260530_at"
## [15631] "260531_at" "260532_at"
## [15633] "260533_at" "260534_at"
## [15635] "260535_at" "260536_at"
## [15637] "260537_at" "260538_at"
## [15639] "260539_at" "260540_at"
## [15641] "260541_at" "260542_at"
## [15643] "260543_at" "260544_at"
## [15645] "260545_at" "260546_at"
## [15647] "260547_at" "260548_at"
## [15649] "260549_at" "260550_at"
## [15651] "260551_at" "260552_at"
## [15653] "260553_at" "260554_at"
## [15655] "260555_at" "260556_at"
## [15657] "260557_at" "260558_at"
## [15659] "260559_at" "260560_at"
## [15661] "260561_at" "260562_at"
## [15663] "260563_at" "260564_at"
## [15665] "260565_at" "260566_at"
## [15667] "260567_at" "260568_at"
## [15669] "260569_at" "260570_at"
## [15671] "260571_at" "260572_at"
## [15673] "260573_at" "260574_at"
## [15675] "260575_at" "260576_at"
## [15677] "260577_at" "260578_at"
## [15679] "260579_at" "260580_at"
## [15681] "260581_at" "260582_at"
## [15683] "260583_x_at" "260584_at"
## [15685] "260585_at" "260586_at"
## [15687] "260587_at" "260588_at"
## [15689] "260589_at" "260590_at"
## [15691] "260591_at" "260592_at"
## [15693] "260593_at" "260594_at"
## [15695] "260595_at" "260596_at"
## [15697] "260597_at" "260598_at"
## [15699] "260599_at" "260600_at"
## [15701] "260601_at" "260602_at"
## [15703] "260603_at" "260604_at"
## [15705] "260605_at" "260606_at"
## [15707] "260607_at" "260608_at"
## [15709] "260609_at" "260610_at"
## [15711] "260611_at" "260612_at"
## [15713] "260613_at" "260614_at"
## [15715] "260615_at" "260616_at"
## [15717] "260617_at" "260618_at"
## [15719] "260619_at" "260620_at"
## [15721] "260621_at" "260622_at"
## [15723] "260623_at" "260624_at"
## [15725] "260625_at" "260626_at"
## [15727] "260627_at" "260628_at"
## [15729] "260629_at" "260630_at"
## [15731] "260631_at" "260632_at"
## [15733] "260633_at" "260634_at"
## [15735] "260635_at" "260636_at"
## [15737] "260637_at" "260638_at"
## [15739] "260639_at" "260640_at"
## [15741] "260641_at" "260642_at"
## [15743] "260643_at" "260644_at"
## [15745] "260645_at" "260646_at"
## [15747] "260647_at" "260648_at"
## [15749] "260649_at" "260650_at"
## [15751] "260651_at" "260652_at"
## [15753] "260653_at" "260654_at"
## [15755] "260655_at" "260656_at"
## [15757] "260657_at" "260658_at"
## [15759] "260659_s_at" "260660_at"
## [15761] "260661_at" "260662_at"
## [15763] "260663_at" "260664_at"
## [15765] "260665_at" "260666_at"
## [15767] "260667_at" "260668_at"
## [15769] "260669_at" "260670_at"
## [15771] "260671_at" "260672_at"
## [15773] "260673_at" "260674_at"
## [15775] "260675_at" "260676_at"
## [15777] "260677_at" "260678_at"
## [15779] "260679_at" "260680_s_at"
## [15781] "260681_at" "260682_at"
## [15783] "260683_at" "260684_at"
## [15785] "260685_at" "260686_at"
## [15787] "260687_at" "260688_at"
## [15789] "260689_at" "260690_at"
## [15791] "260691_s_at" "260692_at"
## [15793] "260693_at" "260694_at"
## [15795] "260695_at" "260696_at"
## [15797] "260697_at" "260698_at"
## [15799] "260699_at" "260700_at"
## [15801] "260701_at" "260702_at"
## [15803] "260703_at" "260704_at"
## [15805] "260705_at" "260706_at"
## [15807] "260707_s_at" "260708_at"
## [15809] "260709_at" "260710_at"
## [15811] "260711_at" "260712_at"
## [15813] "260713_at" "260714_at"
## [15815] "260715_at" "260716_at"
## [15817] "260717_at" "260718_at"
## [15819] "260719_at" "260720_at"
## [15821] "260721_at" "260722_at"
## [15823] "260723_at" "260724_at"
## [15825] "260725_at" "260726_at"
## [15827] "260727_at" "260728_at"
## [15829] "260729_at" "260730_at"
## [15831] "260731_at" "260732_at"
## [15833] "260733_at" "260734_at"
## [15835] "260735_at" "260736_at"
## [15837] "260737_at" "260738_at"
## [15839] "260739_at" "260740_at"
## [15841] "260741_at" "260742_at"
## [15843] "260743_at" "260744_at"
## [15845] "260745_at" "260746_at"
## [15847] "260747_at" "260748_at"
## [15849] "260749_at" "260750_at"
## [15851] "260751_at" "260752_at"
## [15853] "260753_at" "260754_at"
## [15855] "260755_at" "260756_at"
## [15857] "260757_at" "260758_at"
## [15859] "260759_at" "260760_at"
## [15861] "260761_at" "260762_at"
## [15863] "260763_at" "260764_at"
## [15865] "260765_at" "260766_at"
## [15867] "260767_s_at" "260768_at"
## [15869] "260769_at" "260770_at"
## [15871] "260771_at" "260772_at"
## [15873] "260773_at" "260774_at"
## [15875] "260775_at" "260776_at"
## [15877] "260777_at" "260778_at"
## [15879] "260779_at" "260780_at"
## [15881] "260781_at" "260782_at"
## [15883] "260783_at" "260784_at"
## [15885] "260785_at" "260786_s_at"
## [15887] "260787_at" "260788_at"
## [15889] "260789_s_at" "260790_at"
## [15891] "260791_at" "260792_at"
## [15893] "260793_at" "260794_at"
## [15895] "260795_at" "260796_at"
## [15897] "260797_at" "260798_at"
## [15899] "260799_at" "260800_at"
## [15901] "260801_at" "260802_at"
## [15903] "260803_at" "260804_at"
## [15905] "260805_at" "260806_at"
## [15907] "260807_at" "260808_at"
## [15909] "260809_at" "260810_s_at"
## [15911] "260811_s_at" "260812_at"
## [15913] "260813_at" "260814_at"
## [15915] "260815_at" "260816_at"
## [15917] "260817_at" "260818_at"
## [15919] "260819_at" "260820_at"
## [15921] "260821_at" "260822_at"
## [15923] "260823_at" "260824_at"
## [15925] "260825_at" "260826_at"
## [15927] "260827_at" "260828_at"
## [15929] "260829_s_at" "260830_at"
## [15931] "260831_at" "260832_at"
## [15933] "260833_at" "260834_at"
## [15935] "260835_at" "260836_at"
## [15937] "260837_at" "260838_at"
## [15939] "260839_at" "260840_at"
## [15941] "260841_at" "260842_at"
## [15943] "260843_at" "260844_at"
## [15945] "260845_at" "260846_at"
## [15947] "260847_s_at" "260848_at"
## [15949] "260849_at" "260850_at"
## [15951] "260851_at" "260852_at"
## [15953] "260853_at" "260854_at"
## [15955] "260855_at" "260856_at"
## [15957] "260857_at" "260858_at"
## [15959] "260859_at" "260860_at"
## [15961] "260861_at" "260862_at"
## [15963] "260863_at" "260864_at"
## [15965] "260865_at" "260866_at"
## [15967] "260867_at" "260868_at"
## [15969] "260869_at" "260870_at"
## [15971] "260871_at" "260872_at"
## [15973] "260873_at" "260874_at"
## [15975] "260875_at" "260876_at"
## [15977] "260877_at" "260878_at"
## [15979] "260879_at" "260880_at"
## [15981] "260881_at" "260882_at"
## [15983] "260883_at" "260884_at"
## [15985] "260885_at" "260886_at"
## [15987] "260887_at" "260888_at"
## [15989] "260889_at" "260890_at"
## [15991] "260891_at" "260892_at"
## [15993] "260893_at" "260894_at"
## [15995] "260895_at" "260896_at"
## [15997] "260897_at" "260898_at"
## [15999] "260899_at" "260900_s_at"
## [16001] "260901_at" "260902_at"
## [16003] "260903_at" "260904_at"
## [16005] "260905_at" "260906_at"
## [16007] "260907_at" "260908_at"
## [16009] "260909_at" "260910_at"
## [16011] "260911_at" "260912_at"
## [16013] "260913_at" "260914_at"
## [16015] "260915_at" "260916_at"
## [16017] "260917_at" "260918_at"
## [16019] "260919_at" "260920_at"
## [16021] "260921_at" "260922_at"
## [16023] "260923_at" "260924_at"
## [16025] "260925_at" "260926_at"
## [16027] "260927_at" "260928_at"
## [16029] "260929_at" "260930_at"
## [16031] "260931_at" "260932_s_at"
## [16033] "260933_at" "260934_at"
## [16035] "260935_at" "260936_at"
## [16037] "260937_at" "260938_at"
## [16039] "260939_at" "260940_at"
## [16041] "260941_at" "260942_s_at"
## [16043] "260943_at" "260944_at"
## [16045] "260945_at" "260946_at"
## [16047] "260947_at" "260948_at"
## [16049] "260949_at" "260950_s_at"
## [16051] "260951_at" "260952_at"
## [16053] "260953_at" "260954_at"
## [16055] "260955_at" "260956_at"
## [16057] "260957_at" "260958_at"
## [16059] "260959_at" "260960_at"
## [16061] "260961_at" "260962_at"
## [16063] "260963_at" "260964_at"
## [16065] "260965_s_at" "260966_at"
## [16067] "260967_at" "260968_at"
## [16069] "260969_at" "260970_at"
## [16071] "260971_at" "260972_at"
## [16073] "260973_at" "260974_at"
## [16075] "260975_at" "260976_at"
## [16077] "260977_at" "260978_at"
## [16079] "260979_at" "260980_at"
## [16081] "260981_at" "260982_at"
## [16083] "260983_at" "260984_at"
## [16085] "260985_at" "260986_at"
## [16087] "260987_at" "260988_at"
## [16089] "260989_at" "260990_at"
## [16091] "260991_at" "260992_at"
## [16093] "260993_at" "260994_at"
## [16095] "260995_at" "260996_at"
## [16097] "260997_at" "260998_at"
## [16099] "260999_at" "261000_at"
## [16101] "261001_at" "261002_at"
## [16103] "261003_at" "261004_at"
## [16105] "261005_at" "261006_at"
## [16107] "261007_at" "261008_at"
## [16109] "261009_at" "261010_at"
## [16111] "261011_at" "261012_at"
## [16113] "261013_at" "261014_at"
## [16115] "261015_at" "261016_at"
## [16117] "261017_at" "261018_at"
## [16119] "261019_at" "261020_at"
## [16121] "261021_at" "261022_at"
## [16123] "261023_at" "261024_at"
## [16125] "261025_at" "261026_at"
## [16127] "261027_at" "261028_at"
## [16129] "261029_at" "261030_at"
## [16131] "261031_at" "261032_at"
## [16133] "261033_at" "261034_s_at"
## [16135] "261035_at" "261036_at"
## [16137] "261037_at" "261038_at"
## [16139] "261039_at" "261040_at"
## [16141] "261041_at" "261042_at"
## [16143] "261043_at" "261044_at"
## [16145] "261045_at" "261046_at"
## [16147] "261047_at" "261048_at"
## [16149] "261049_at" "261050_at"
## [16151] "261051_at" "261052_at"
## [16153] "261053_at" "261054_at"
## [16155] "261055_at" "261056_at"
## [16157] "261057_at" "261058_at"
## [16159] "261059_at" "261060_at"
## [16161] "261061_at" "261062_at"
## [16163] "261063_at" "261064_at"
## [16165] "261065_at" "261066_at"
## [16167] "261067_at" "261068_at"
## [16169] "261069_at" "261070_at"
## [16171] "261071_at" "261072_at"
## [16173] "261073_at" "261074_at"
## [16175] "261075_at" "261076_at"
## [16177] "261077_at" "261078_at"
## [16179] "261079_s_at" "261080_at"
## [16181] "261081_at" "261082_at"
## [16183] "261083_at" "261084_at"
## [16185] "261085_at" "261086_at"
## [16187] "261087_at" "261088_at"
## [16189] "261089_at" "261090_at"
## [16191] "261091_at" "261092_at"
## [16193] "261093_at" "261094_at"
## [16195] "261095_at" "261096_at"
## [16197] "261097_at" "261098_at"
## [16199] "261099_at" "261100_at"
## [16201] "261101_at" "261102_at"
## [16203] "261103_s_at" "261104_at"
## [16205] "261105_at" "261106_at"
## [16207] "261107_at" "261108_at"
## [16209] "261109_at" "261110_at"
## [16211] "261111_at" "261112_at"
## [16213] "261113_at" "261114_at"
## [16215] "261115_at" "261116_at"
## [16217] "261117_at" "261118_at"
## [16219] "261119_at" "261120_at"
## [16221] "261121_at" "261122_at"
## [16223] "261123_at" "261124_at"
## [16225] "261125_at" "261126_at"
## [16227] "261127_at" "261128_at"
## [16229] "261129_at" "261130_at"
## [16231] "261131_at" "261132_at"
## [16233] "261133_at" "261134_at"
## [16235] "261135_at" "261136_at"
## [16237] "261137_at" "261138_at"
## [16239] "261139_at" "261140_at"
## [16241] "261141_at" "261142_at"
## [16243] "261143_at" "261144_s_at"
## [16245] "261145_at" "261146_at"
## [16247] "261147_at" "261148_at"
## [16249] "261149_s_at" "261150_at"
## [16251] "261151_at" "261152_at"
## [16253] "261153_at" "261154_at"
## [16255] "261155_at" "261156_s_at"
## [16257] "261157_at" "261158_at"
## [16259] "261159_s_at" "261160_at"
## [16261] "261161_at" "261162_at"
## [16263] "261163_x_at" "261164_at"
## [16265] "261165_at" "261166_s_at"
## [16267] "261167_at" "261168_at"
## [16269] "261169_at" "261170_at"
## [16271] "261171_at" "261172_at"
## [16273] "261173_at" "261174_at"
## [16275] "261175_at" "261176_at"
## [16277] "261177_at" "261178_at"
## [16279] "261179_at" "261180_at"
## [16281] "261181_at" "261182_at"
## [16283] "261183_at" "261184_at"
## [16285] "261185_at" "261186_at"
## [16287] "261187_at" "261188_at"
## [16289] "261189_at" "261190_at"
## [16291] "261191_at" "261192_at"
## [16293] "261193_at" "261194_at"
## [16295] "261195_at" "261196_at"
## [16297] "261197_at" "261198_at"
## [16299] "261199_at" "261200_at"
## [16301] "261201_at" "261202_at"
## [16303] "261203_at" "261204_s_at"
## [16305] "261205_at" "261206_at"
## [16307] "261207_at" "261208_at"
## [16309] "261209_at" "261210_at"
## [16311] "261211_at" "261212_at"
## [16313] "261213_at" "261214_at"
## [16315] "261215_at" "261216_at"
## [16317] "261217_at" "261218_at"
## [16319] "261219_at" "261220_at"
## [16321] "261221_at" "261222_at"
## [16323] "261223_at" "261224_at"
## [16325] "261225_at" "261226_at"
## [16327] "261227_at" "261228_at"
## [16329] "261229_at" "261230_at"
## [16331] "261231_at" "261232_at"
## [16333] "261233_at" "261234_x_at"
## [16335] "261235_x_at" "261236_at"
## [16337] "261237_at" "261238_at"
## [16339] "261239_at" "261240_at"
## [16341] "261241_at" "261242_at"
## [16343] "261243_at" "261244_at"
## [16345] "261245_at" "261246_at"
## [16347] "261247_at" "261248_at"
## [16349] "261249_at" "261250_at"
## [16351] "261251_at" "261252_at"
## [16353] "261253_at" "261254_at"
## [16355] "261255_at" "261256_at"
## [16357] "261257_at" "261258_at"
## [16359] "261259_at" "261260_at"
## [16361] "261261_at" "261262_at"
## [16363] "261263_at" "261264_at"
## [16365] "261265_at" "261266_at"
## [16367] "261267_at" "261268_at"
## [16369] "261269_at" "261270_at"
## [16371] "261271_at" "261272_at"
## [16373] "261273_at" "261274_at"
## [16375] "261275_at" "261276_at"
## [16377] "261277_at" "261278_at"
## [16379] "261279_at" "261280_at"
## [16381] "261281_at" "261282_at"
## [16383] "261283_s_at" "261284_at"
## [16385] "261285_at" "261286_at"
## [16387] "261287_at" "261288_at"
## [16389] "261289_at" "261290_at"
## [16391] "261291_at" "261292_at"
## [16393] "261293_at" "261294_at"
## [16395] "261295_at" "261296_at"
## [16397] "261297_at" "261298_at"
## [16399] "261299_at" "261300_at"
## [16401] "261301_at" "261302_at"
## [16403] "261303_at" "261304_at"
## [16405] "261305_at" "261306_at"
## [16407] "261307_at" "261308_at"
## [16409] "261309_at" "261310_at"
## [16411] "261311_at" "261312_at"
## [16413] "261313_at" "261314_at"
## [16415] "261315_at" "261316_at"
## [16417] "261317_at" "261318_at"
## [16419] "261319_at" "261320_at"
## [16421] "261321_at" "261322_at"
## [16423] "261323_at" "261324_at"
## [16425] "261325_at" "261326_s_at"
## [16427] "261327_at" "261328_at"
## [16429] "261329_at" "261330_at"
## [16431] "261331_at" "261332_s_at"
## [16433] "261333_at" "261334_at"
## [16435] "261335_at" "261336_at"
## [16437] "261337_at" "261338_at"
## [16439] "261339_at" "261340_at"
## [16441] "261341_s_at" "261342_at"
## [16443] "261343_s_at" "261344_at"
## [16445] "261345_at" "261346_at"
## [16447] "261347_at" "261348_at"
## [16449] "261349_at" "261350_at"
## [16451] "261351_at" "261352_at"
## [16453] "261353_at" "261354_at"
## [16455] "261355_at" "261356_at"
## [16457] "261357_at" "261358_s_at"
## [16459] "261359_at" "261360_at"
## [16461] "261361_at" "261362_s_at"
## [16463] "261363_at" "261364_at"
## [16465] "261365_at" "261366_at"
## [16467] "261367_at" "261368_at"
## [16469] "261369_at" "261370_at"
## [16471] "261371_at" "261372_at"
## [16473] "261373_at" "261374_at"
## [16475] "261375_at" "261376_at"
## [16477] "261377_at" "261378_at"
## [16479] "261379_at" "261380_at"
## [16481] "261381_at" "261382_at"
## [16483] "261383_at" "261384_at"
## [16485] "261385_at" "261386_at"
## [16487] "261387_at" "261388_at"
## [16489] "261389_s_at" "261390_at"
## [16491] "261391_at" "261392_at"
## [16493] "261393_at" "261394_at"
## [16495] "261395_at" "261396_at"
## [16497] "261397_at" "261398_at"
## [16499] "261399_at" "261400_at"
## [16501] "261401_at" "261402_at"
## [16503] "261403_at" "261404_at"
## [16505] "261405_at" "261406_at"
## [16507] "261407_at" "261408_s_at"
## [16509] "261409_at" "261410_at"
## [16511] "261411_at" "261412_at"
## [16513] "261413_at" "261414_at"
## [16515] "261415_at" "261416_at"
## [16517] "261417_at" "261418_at"
## [16519] "261419_at" "261420_at"
## [16521] "261421_at" "261422_at"
## [16523] "261423_at" "261424_at"
## [16525] "261425_at" "261426_at"
## [16527] "261427_at" "261428_at"
## [16529] "261429_at" "261430_at"
## [16531] "261431_at" "261432_at"
## [16533] "261433_s_at" "261434_at"
## [16535] "261435_at" "261436_at"
## [16537] "261437_at" "261438_at"
## [16539] "261439_at" "261440_at"
## [16541] "261441_at" "261442_at"
## [16543] "261443_at" "261444_at"
## [16545] "261445_at" "261446_at"
## [16547] "261447_at" "261448_at"
## [16549] "261449_at" "261450_s_at"
## [16551] "261451_at" "261452_s_at"
## [16553] "261453_at" "261454_at"
## [16555] "261455_at" "261456_at"
## [16557] "261457_at" "261458_at"
## [16559] "261459_at" "261460_at"
## [16561] "261461_at" "261462_at"
## [16563] "261463_at" "261464_at"
## [16565] "261465_at" "261466_at"
## [16567] "261467_at" "261468_s_at"
## [16569] "261469_at" "261470_at"
## [16571] "261471_at" "261472_at"
## [16573] "261473_at" "261474_at"
## [16575] "261475_at" "261476_at"
## [16577] "261477_at" "261478_at"
## [16579] "261479_at" "261480_at"
## [16581] "261481_at" "261482_at"
## [16583] "261483_at" "261484_at"
## [16585] "261485_at" "261486_at"
## [16587] "261487_at" "261488_at"
## [16589] "261489_at" "261490_at"
## [16591] "261491_at" "261492_at"
## [16593] "261493_at" "261494_at"
## [16595] "261495_at" "261496_at"
## [16597] "261497_x_at" "261498_at"
## [16599] "261499_at" "261500_at"
## [16601] "261501_at" "261502_at"
## [16603] "261503_at" "261504_at"
## [16605] "261505_at" "261506_at"
## [16607] "261507_at" "261508_at"
## [16609] "261509_at" "261510_at"
## [16611] "261511_at" "261512_at"
## [16613] "261513_at" "261514_at"
## [16615] "261515_at" "261516_at"
## [16617] "261517_at" "261518_at"
## [16619] "261519_at" "261520_at"
## [16621] "261521_at" "261522_at"
## [16623] "261523_at" "261524_at"
## [16625] "261525_at" "261526_at"
## [16627] "261527_at" "261528_at"
## [16629] "261529_at" "261530_at"
## [16631] "261531_at" "261532_at"
## [16633] "261533_at" "261534_at"
## [16635] "261535_at" "261536_at"
## [16637] "261537_at" "261538_at"
## [16639] "261539_at" "261540_at"
## [16641] "261541_at" "261542_at"
## [16643] "261543_at" "261544_at"
## [16645] "261545_at" "261546_at"
## [16647] "261547_at" "261548_at"
## [16649] "261549_at" "261550_at"
## [16651] "261551_at" "261552_at"
## [16653] "261553_at" "261554_at"
## [16655] "261555_s_at" "261556_s_at"
## [16657] "261557_at" "261558_at"
## [16659] "261559_at" "261560_at"
## [16661] "261561_at" "261562_at"
## [16663] "261563_at" "261564_at"
## [16665] "261565_at" "261566_at"
## [16667] "261567_at" "261568_at"
## [16669] "261569_at" "261570_at"
## [16671] "261571_at" "261572_at"
## [16673] "261573_at" "261574_at"
## [16675] "261575_at" "261576_at"
## [16677] "261577_at" "261578_at"
## [16679] "261579_at" "261580_at"
## [16681] "261581_at" "261582_at"
## [16683] "261583_at" "261584_at"
## [16685] "261585_at" "261586_at"
## [16687] "261587_at" "261588_at"
## [16689] "261589_at" "261590_at"
## [16691] "261591_at" "261592_at"
## [16693] "261593_at" "261594_at"
## [16695] "261595_at" "261596_at"
## [16697] "261597_at" "261598_at"
## [16699] "261599_at" "261600_x_at"
## [16701] "261601_at" "261602_at"
## [16703] "261603_at" "261604_at"
## [16705] "261605_at" "261606_at"
## [16707] "261607_at" "261608_at"
## [16709] "261609_at" "261610_at"
## [16711] "261611_at" "261612_at"
## [16713] "261613_at" "261614_at"
## [16715] "261615_at" "261616_at"
## [16717] "261617_s_at" "261618_at"
## [16719] "261619_x_at" "261620_s_at"
## [16721] "261621_at" "261622_at"
## [16723] "261623_at" "261624_at"
## [16725] "261625_at" "261626_at"
## [16727] "261627_at" "261628_at"
## [16729] "261629_at" "261630_at"
## [16731] "261631_at" "261632_at"
## [16733] "261633_at" "261634_at"
## [16735] "261635_at" "261636_at"
## [16737] "261637_at" "261638_at"
## [16739] "261639_at" "261640_at"
## [16741] "261641_at" "261642_at"
## [16743] "261643_at" "261644_s_at"
## [16745] "261645_at" "261646_at"
## [16747] "261647_at" "261648_at"
## [16749] "261649_at" "261650_at"
## [16751] "261651_at" "261652_at"
## [16753] "261653_at" "261654_at"
## [16755] "261655_at" "261656_at"
## [16757] "261657_at" "261658_at"
## [16759] "261659_at" "261660_at"
## [16761] "261661_at" "261662_at"
## [16763] "261663_at" "261664_s_at"
## [16765] "261665_at" "261666_at"
## [16767] "261667_at" "261668_at"
## [16769] "261669_at" "261670_at"
## [16771] "261671_at" "261672_at"
## [16773] "261673_at" "261674_at"
## [16775] "261675_at" "261676_at"
## [16777] "261677_at" "261678_at"
## [16779] "261679_at" "261680_at"
## [16781] "261681_at" "261682_at"
## [16783] "261683_at" "261684_at"
## [16785] "261685_at" "261686_at"
## [16787] "261687_at" "261688_at"
## [16789] "261689_at" "261690_at"
## [16791] "261691_at" "261692_at"
## [16793] "261693_at" "261694_at"
## [16795] "261695_at" "261696_at"
## [16797] "261697_at" "261698_at"
## [16799] "261699_at" "261700_at"
## [16801] "261701_at" "261702_at"
## [16803] "261703_at" "261704_at"
## [16805] "261705_at" "261706_at"
## [16807] "261707_at" "261708_at"
## [16809] "261709_at" "261710_at"
## [16811] "261711_at" "261712_at"
## [16813] "261713_at" "261714_at"
## [16815] "261715_at" "261716_at"
## [16817] "261717_at" "261718_at"
## [16819] "261719_at" "261720_at"
## [16821] "261721_at" "261722_at"
## [16823] "261723_at" "261724_at"
## [16825] "261725_at" "261726_at"
## [16827] "261727_at" "261728_at"
## [16829] "261729_s_at" "261730_s_at"
## [16831] "261731_s_at" "261732_at"
## [16833] "261733_at" "261734_at"
## [16835] "261735_at" "261736_at"
## [16837] "261737_at" "261738_s_at"
## [16839] "261739_at" "261740_at"
## [16841] "261741_at" "261742_at"
## [16843] "261743_s_at" "261744_at"
## [16845] "261745_at" "261746_at"
## [16847] "261747_at" "261748_at"
## [16849] "261749_at" "261750_at"
## [16851] "261751_at" "261752_at"
## [16853] "261753_at" "261754_at"
## [16855] "261755_at" "261756_at"
## [16857] "261757_at" "261758_at"
## [16859] "261759_at" "261760_at"
## [16861] "261761_at" "261762_at"
## [16863] "261763_at" "261764_at"
## [16865] "261765_at" "261766_at"
## [16867] "261767_s_at" "261768_at"
## [16869] "261769_at" "261770_at"
## [16871] "261771_at" "261772_at"
## [16873] "261773_at" "261774_at"
## [16875] "261775_at" "261776_at"
## [16877] "261777_at" "261778_at"
## [16879] "261779_at" "261780_at"
## [16881] "261781_at" "261782_at"
## [16883] "261783_at" "261784_at"
## [16885] "261785_at" "261786_at"
## [16887] "261787_at" "261788_at"
## [16889] "261789_at" "261790_at"
## [16891] "261791_at" "261792_at"
## [16893] "261793_at" "261794_at"
## [16895] "261795_at" "261796_at"
## [16897] "261797_at" "261798_at"
## [16899] "261799_at" "261800_at"
## [16901] "261801_at" "261802_at"
## [16903] "261803_at" "261804_at"
## [16905] "261805_at" "261806_at"
## [16907] "261807_at" "261808_at"
## [16909] "261809_at" "261810_at"
## [16911] "261811_at" "261812_at"
## [16913] "261813_at" "261814_at"
## [16915] "261815_at" "261816_at"
## [16917] "261817_at" "261818_at"
## [16919] "261819_at" "261820_at"
## [16921] "261821_at" "261822_at"
## [16923] "261823_at" "261824_at"
## [16925] "261825_at" "261826_at"
## [16927] "261827_at" "261828_at"
## [16929] "261829_at" "261830_at"
## [16931] "261831_at" "261832_at"
## [16933] "261833_at" "261834_at"
## [16935] "261835_at" "261836_at"
## [16937] "261837_s_at" "261838_at"
## [16939] "261839_at" "261840_at"
## [16941] "261841_at" "261842_at"
## [16943] "261843_at" "261844_at"
## [16945] "261845_at" "261846_at"
## [16947] "261847_at" "261848_at"
## [16949] "261849_at" "261850_at"
## [16951] "261851_at" "261852_at"
## [16953] "261853_at" "261854_at"
## [16955] "261855_at" "261856_at"
## [16957] "261857_at" "261858_at"
## [16959] "261859_at" "261860_at"
## [16961] "261861_at" "261862_at"
## [16963] "261863_at" "261864_s_at"
## [16965] "261865_at" "261866_at"
## [16967] "261867_at" "261868_s_at"
## [16969] "261869_at" "261870_at"
## [16971] "261871_at" "261872_s_at"
## [16973] "261873_at" "261874_at"
## [16975] "261875_at" "261876_at"
## [16977] "261877_at" "261878_at"
## [16979] "261879_at" "261880_at"
## [16981] "261881_at" "261882_at"
## [16983] "261883_at" "261884_at"
## [16985] "261885_at" "261886_s_at"
## [16987] "261887_at" "261888_at"
## [16989] "261889_at" "261890_at"
## [16991] "261891_at" "261892_at"
## [16993] "261893_at" "261894_at"
## [16995] "261895_at" "261896_at"
## [16997] "261897_at" "261898_at"
## [16999] "261899_at" "261900_at"
## [17001] "261901_at" "261902_at"
## [17003] "261903_at" "261904_at"
## [17005] "261905_at" "261906_at"
## [17007] "261907_at" "261908_at"
## [17009] "261909_at" "261910_at"
## [17011] "261911_at" "261912_s_at"
## [17013] "261913_at" "261914_at"
## [17015] "261915_at" "261916_at"
## [17017] "261917_at" "261918_at"
## [17019] "261919_at" "261920_at"
## [17021] "261921_at" "261922_at"
## [17023] "261923_at" "261924_at"
## [17025] "261925_at" "261926_at"
## [17027] "261927_at" "261928_at"
## [17029] "261929_at" "261930_at"
## [17031] "261931_at" "261932_at"
## [17033] "261933_at" "261934_at"
## [17035] "261935_at" "261936_at"
## [17037] "261937_at" "261938_at"
## [17039] "261939_at" "261940_at"
## [17041] "261941_at" "261942_at"
## [17043] "261943_at" "261944_at"
## [17045] "261945_at" "261946_at"
## [17047] "261947_at" "261948_at"
## [17049] "261949_at" "261950_at"
## [17051] "261951_at" "261952_at"
## [17053] "261953_at" "261954_at"
## [17055] "261955_at" "261956_at"
## [17057] "261957_at" "261958_at"
## [17059] "261959_s_at" "261960_at"
## [17061] "261961_at" "261962_s_at"
## [17063] "261963_at" "261964_at"
## [17065] "261965_at" "261966_x_at"
## [17067] "261967_at" "261968_at"
## [17069] "261969_at" "261970_at"
## [17071] "261971_at" "261972_at"
## [17073] "261973_at" "261974_at"
## [17075] "261975_at" "261976_at"
## [17077] "261977_at" "261978_at"
## [17079] "261979_at" "261980_at"
## [17081] "261981_at" "261982_at"
## [17083] "261983_at" "261984_at"
## [17085] "261985_at" "261986_s_at"
## [17087] "261987_at" "261988_at"
## [17089] "261989_at" "261990_at"
## [17091] "261991_at" "261992_at"
## [17093] "261993_at" "261994_at"
## [17095] "261995_at" "261996_at"
## [17097] "261997_at" "261998_at"
## [17099] "261999_at" "262000_at"
## [17101] "262001_at" "262002_at"
## [17103] "262003_at" "262004_at"
## [17105] "262005_at" "262006_at"
## [17107] "262007_at" "262008_s_at"
## [17109] "262009_at" "262010_at"
## [17111] "262011_at" "262012_s_at"
## [17113] "262013_s_at" "262014_at"
## [17115] "262015_at" "262016_at"
## [17117] "262017_at" "262018_at"
## [17119] "262019_s_at" "262020_at"
## [17121] "262021_at" "262022_at"
## [17123] "262023_at" "262024_at"
## [17125] "262025_at" "262026_at"
## [17127] "262027_at" "262028_at"
## [17129] "262029_at" "262030_s_at"
## [17131] "262031_x_at" "262032_at"
## [17133] "262033_at" "262034_at"
## [17135] "262035_at" "262036_at"
## [17137] "262037_at" "262038_at"
## [17139] "262039_at" "262040_at"
## [17141] "262041_at" "262042_at"
## [17143] "262043_at" "262044_s_at"
## [17145] "262045_at" "262046_at"
## [17147] "262047_at" "262048_at"
## [17149] "262049_at" "262050_at"
## [17151] "262051_at" "262052_at"
## [17153] "262053_at" "262054_s_at"
## [17155] "262055_at" "262056_at"
## [17157] "262057_at" "262058_at"
## [17159] "262059_at" "262060_at"
## [17161] "262061_at" "262062_s_at"
## [17163] "262063_at" "262064_at"
## [17165] "262065_at" "262066_at"
## [17167] "262067_at" "262068_at"
## [17169] "262069_at" "262070_at"
## [17171] "262071_at" "262072_at"
## [17173] "262073_at" "262074_at"
## [17175] "262075_at" "262076_at"
## [17177] "262077_at" "262078_at"
## [17179] "262079_at" "262080_at"
## [17181] "262081_at" "262082_s_at"
## [17183] "262083_at" "262084_at"
## [17185] "262085_at" "262086_at"
## [17187] "262087_at" "262088_at"
## [17189] "262089_s_at" "262090_at"
## [17191] "262091_at" "262092_at"
## [17193] "262093_at" "262094_at"
## [17195] "262095_at" "262096_at"
## [17197] "262097_at" "262098_at"
## [17199] "262099_s_at" "262100_s_at"
## [17201] "262101_at" "262102_at"
## [17203] "262103_at" "262104_at"
## [17205] "262105_at" "262106_at"
## [17207] "262107_at" "262108_at"
## [17209] "262109_at" "262110_at"
## [17211] "262111_at" "262112_at"
## [17213] "262113_at" "262114_at"
## [17215] "262115_at" "262116_at"
## [17217] "262117_at" "262118_at"
## [17219] "262119_s_at" "262120_at"
## [17221] "262121_at" "262122_at"
## [17223] "262123_at" "262124_at"
## [17225] "262125_at" "262126_at"
## [17227] "262127_at" "262128_at"
## [17229] "262129_at" "262130_at"
## [17231] "262131_at" "262132_at"
## [17233] "262133_at" "262134_at"
## [17235] "262135_at" "262136_at"
## [17237] "262137_at" "262138_at"
## [17239] "262139_at" "262140_at"
## [17241] "262141_s_at" "262142_at"
## [17243] "262143_at" "262144_at"
## [17245] "262145_at" "262146_at"
## [17247] "262147_at" "262148_at"
## [17249] "262149_at" "262150_at"
## [17251] "262151_at" "262152_s_at"
## [17253] "262153_at" "262154_at"
## [17255] "262155_at" "262156_at"
## [17257] "262157_at" "262158_at"
## [17259] "262159_at" "262160_at"
## [17261] "262161_at" "262162_at"
## [17263] "262163_at" "262164_at"
## [17265] "262165_at" "262166_at"
## [17267] "262167_at" "262168_at"
## [17269] "262169_at" "262170_at"
## [17271] "262171_at" "262172_at"
## [17273] "262173_at" "262174_at"
## [17275] "262175_at" "262176_at"
## [17277] "262177_at" "262178_at"
## [17279] "262179_at" "262180_at"
## [17281] "262181_at" "262182_at"
## [17283] "262183_at" "262184_at"
## [17285] "262185_at" "262186_at"
## [17287] "262187_at" "262188_at"
## [17289] "262189_at" "262190_at"
## [17291] "262191_at" "262192_at"
## [17293] "262193_at" "262194_at"
## [17295] "262195_at" "262196_at"
## [17297] "262197_at" "262198_at"
## [17299] "262199_at" "262200_at"
## [17301] "262201_at" "262202_at"
## [17303] "262203_at" "262204_at"
## [17305] "262205_at" "262206_at"
## [17307] "262207_at" "262208_at"
## [17309] "262209_at" "262210_at"
## [17311] "262211_at" "262212_at"
## [17313] "262213_at" "262214_at"
## [17315] "262215_at" "262216_at"
## [17317] "262217_at" "262218_at"
## [17319] "262219_at" "262220_at"
## [17321] "262221_at" "262222_at"
## [17323] "262223_at" "262224_at"
## [17325] "262225_at" "262226_at"
## [17327] "262227_s_at" "262228_at"
## [17329] "262229_at" "262230_at"
## [17331] "262231_at" "262232_at"
## [17333] "262233_at" "262234_at"
## [17335] "262235_at" "262236_at"
## [17337] "262237_at" "262238_at"
## [17339] "262239_at" "262240_at"
## [17341] "262241_at" "262242_at"
## [17343] "262243_at" "262244_at"
## [17345] "262245_at" "262246_at"
## [17347] "262247_at" "262248_at"
## [17349] "262249_at" "262250_at"
## [17351] "262251_at" "262252_at"
## [17353] "262253_s_at" "262254_at"
## [17355] "262255_at" "262256_at"
## [17357] "262257_at" "262258_at"
## [17359] "262259_s_at" "262260_at"
## [17361] "262261_at" "262262_at"
## [17363] "262263_at" "262264_at"
## [17365] "262265_at" "262266_at"
## [17367] "262267_at" "262268_at"
## [17369] "262269_at" "262270_x_at"
## [17371] "262271_x_at" "262272_at"
## [17373] "262273_at" "262274_at"
## [17375] "262275_at" "262276_at"
## [17377] "262277_at" "262278_at"
## [17379] "262279_at" "262280_at"
## [17381] "262281_at" "262282_at"
## [17383] "262283_at" "262284_at"
## [17385] "262285_at" "262286_at"
## [17387] "262287_at" "262288_at"
## [17389] "262289_at" "262290_at"
## [17391] "262291_at" "262292_at"
## [17393] "262293_at" "262294_at"
## [17395] "262295_at" "262296_at"
## [17397] "262297_at" "262298_at"
## [17399] "262299_at" "262300_at"
## [17401] "262301_at" "262302_at"
## [17403] "262303_at" "262304_at"
## [17405] "262305_at" "262306_s_at"
## [17407] "262307_at" "262308_at"
## [17409] "262309_at" "262310_at"
## [17411] "262311_at" "262312_at"
## [17413] "262313_at" "262314_at"
## [17415] "262315_at" "262316_at"
## [17417] "262317_at" "262318_at"
## [17419] "262319_s_at" "262320_at"
## [17421] "262321_at" "262322_at"
## [17423] "262323_at" "262324_at"
## [17425] "262325_at" "262326_at"
## [17427] "262327_at" "262328_at"
## [17429] "262329_at" "262330_at"
## [17431] "262331_at" "262332_at"
## [17433] "262333_at" "262334_at"
## [17435] "262335_at" "262336_at"
## [17437] "262337_at" "262338_at"
## [17439] "262339_at" "262340_at"
## [17441] "262341_at" "262342_at"
## [17443] "262343_at" "262344_at"
## [17445] "262345_at" "262346_at"
## [17447] "262347_at" "262348_at"
## [17449] "262349_at" "262350_at"
## [17451] "262351_at" "262352_at"
## [17453] "262353_at" "262354_at"
## [17455] "262355_at" "262356_at"
## [17457] "262357_at" "262358_at"
## [17459] "262359_at" "262360_at"
## [17461] "262361_at" "262362_at"
## [17463] "262363_at" "262364_at"
## [17465] "262365_at" "262366_at"
## [17467] "262367_at" "262368_at"
## [17469] "262369_at" "262370_at"
## [17471] "262371_at" "262372_at"
## [17473] "262373_at" "262374_s_at"
## [17475] "262375_at" "262376_at"
## [17477] "262377_at" "262378_at"
## [17479] "262379_at" "262380_at"
## [17481] "262381_at" "262382_at"
## [17483] "262383_at" "262384_at"
## [17485] "262385_at" "262386_at"
## [17487] "262387_s_at" "262388_at"
## [17489] "262389_at" "262390_at"
## [17491] "262391_at" "262392_at"
## [17493] "262393_at" "262394_at"
## [17495] "262395_at" "262396_at"
## [17497] "262397_at" "262398_at"
## [17499] "262399_at" "262400_at"
## [17501] "262401_at" "262402_at"
## [17503] "262403_s_at" "262404_at"
## [17505] "262405_at" "262406_at"
## [17507] "262407_at" "262408_at"
## [17509] "262409_at" "262410_at"
## [17511] "262411_at" "262412_at"
## [17513] "262413_at" "262414_at"
## [17515] "262415_at" "262416_at"
## [17517] "262417_at" "262418_at"
## [17519] "262419_at" "262420_at"
## [17521] "262421_at" "262422_at"
## [17523] "262423_at" "262424_at"
## [17525] "262425_at" "262426_s_at"
## [17527] "262427_s_at" "262428_at"
## [17529] "262429_at" "262430_s_at"
## [17531] "262431_at" "262432_at"
## [17533] "262433_s_at" "262434_at"
## [17535] "262435_at" "262436_at"
## [17537] "262437_at" "262438_at"
## [17539] "262439_at" "262440_at"
## [17541] "262441_at" "262442_at"
## [17543] "262443_at" "262444_at"
## [17545] "262445_at" "262446_at"
## [17547] "262447_at" "262448_at"
## [17549] "262449_at" "262450_at"
## [17551] "262451_at" "262452_at"
## [17553] "262453_at" "262454_at"
## [17555] "262455_at" "262456_at"
## [17557] "262457_at" "262458_at"
## [17559] "262459_at" "262460_s_at"
## [17561] "262461_at" "262462_at"
## [17563] "262463_at" "262464_at"
## [17565] "262465_at" "262466_at"
## [17567] "262467_at" "262468_at"
## [17569] "262469_s_at" "262470_at"
## [17571] "262471_at" "262472_at"
## [17573] "262473_at" "262474_at"
## [17575] "262475_at" "262476_at"
## [17577] "262477_at" "262478_at"
## [17579] "262479_at" "262480_at"
## [17581] "262481_at" "262482_at"
## [17583] "262483_at" "262484_at"
## [17585] "262485_at" "262486_at"
## [17587] "262487_at" "262488_at"
## [17589] "262489_at" "262490_at"
## [17591] "262491_at" "262492_at"
## [17593] "262493_at" "262494_at"
## [17595] "262495_at" "262496_at"
## [17597] "262497_at" "262498_at"
## [17599] "262499_at" "262500_at"
## [17601] "262501_at" "262502_at"
## [17603] "262503_at" "262504_at"
## [17605] "262505_at" "262506_at"
## [17607] "262507_at" "262508_at"
## [17609] "262509_at" "262510_at"
## [17611] "262511_at" "262512_at"
## [17613] "262513_at" "262514_at"
## [17615] "262515_at" "262516_at"
## [17617] "262517_at" "262518_at"
## [17619] "262519_at" "262520_at"
## [17621] "262521_at" "262522_at"
## [17623] "262523_at" "262524_at"
## [17625] "262525_at" "262526_at"
## [17627] "262527_at" "262528_at"
## [17629] "262529_at" "262530_at"
## [17631] "262531_at" "262532_at"
## [17633] "262533_at" "262534_at"
## [17635] "262535_at" "262536_at"
## [17637] "262537_s_at" "262538_at"
## [17639] "262539_at" "262540_at"
## [17641] "262541_at" "262542_at"
## [17643] "262543_at" "262544_at"
## [17645] "262545_at" "262546_at"
## [17647] "262547_at" "262548_at"
## [17649] "262549_at" "262550_at"
## [17651] "262551_at" "262552_at"
## [17653] "262553_at" "262554_at"
## [17655] "262555_at" "262556_at"
## [17657] "262557_at" "262558_at"
## [17659] "262559_at" "262560_at"
## [17661] "262561_at" "262562_at"
## [17663] "262563_at" "262564_at"
## [17665] "262565_at" "262566_at"
## [17667] "262567_at" "262568_at"
## [17669] "262569_at" "262570_at"
## [17671] "262571_at" "262572_at"
## [17673] "262573_at" "262574_at"
## [17675] "262575_at" "262576_at"
## [17677] "262577_at" "262578_at"
## [17679] "262579_at" "262580_at"
## [17681] "262581_at" "262582_at"
## [17683] "262583_at" "262584_at"
## [17685] "262585_at" "262586_at"
## [17687] "262587_at" "262588_at"
## [17689] "262589_s_at" "262590_at"
## [17691] "262591_at" "262592_at"
## [17693] "262593_at" "262594_at"
## [17695] "262595_at" "262596_at"
## [17697] "262597_at" "262598_at"
## [17699] "262599_at" "262600_at"
## [17701] "262601_at" "262602_at"
## [17703] "262603_at" "262604_at"
## [17705] "262605_at" "262606_at"
## [17707] "262607_at" "262608_at"
## [17709] "262609_at" "262610_at"
## [17711] "262611_at" "262612_at"
## [17713] "262613_at" "262614_at"
## [17715] "262615_at" "262616_at"
## [17717] "262617_at" "262618_at"
## [17719] "262619_at" "262620_at"
## [17721] "262621_at" "262622_at"
## [17723] "262623_at" "262624_at"
## [17725] "262625_at" "262626_at"
## [17727] "262627_at" "262628_at"
## [17729] "262629_at" "262630_at"
## [17731] "262631_at" "262632_at"
## [17733] "262633_at" "262634_at"
## [17735] "262635_at" "262636_at"
## [17737] "262637_at" "262638_at"
## [17739] "262639_at" "262640_at"
## [17741] "262641_at" "262642_at"
## [17743] "262643_at" "262644_at"
## [17745] "262645_at" "262646_at"
## [17747] "262647_at" "262648_at"
## [17749] "262649_at" "262650_at"
## [17751] "262651_at" "262652_at"
## [17753] "262653_at" "262654_at"
## [17755] "262655_s_at" "262656_at"
## [17757] "262657_at" "262658_at"
## [17759] "262659_at" "262660_at"
## [17761] "262661_s_at" "262662_at"
## [17763] "262663_at" "262664_at"
## [17765] "262665_at" "262666_at"
## [17767] "262667_at" "262668_at"
## [17769] "262669_at" "262670_s_at"
## [17771] "262671_at" "262672_at"
## [17773] "262673_at" "262674_at"
## [17775] "262675_at" "262676_at"
## [17777] "262677_at" "262678_at"
## [17779] "262679_at" "262680_at"
## [17781] "262681_at" "262682_at"
## [17783] "262683_at" "262684_s_at"
## [17785] "262685_at" "262686_at"
## [17787] "262687_at" "262688_at"
## [17789] "262689_at" "262690_at"
## [17791] "262691_at" "262692_at"
## [17793] "262693_at" "262694_at"
## [17795] "262695_at" "262696_at"
## [17797] "262697_at" "262698_at"
## [17799] "262699_at" "262700_at"
## [17801] "262701_at" "262702_at"
## [17803] "262703_at" "262704_at"
## [17805] "262705_at" "262706_at"
## [17807] "262707_at" "262708_at"
## [17809] "262709_at" "262710_at"
## [17811] "262711_at" "262712_at"
## [17813] "262713_at" "262714_s_at"
## [17815] "262715_at" "262716_at"
## [17817] "262717_s_at" "262718_at"
## [17819] "262719_at" "262720_s_at"
## [17821] "262721_at" "262722_at"
## [17823] "262723_at" "262724_s_at"
## [17825] "262725_at" "262726_at"
## [17827] "262727_at" "262728_at"
## [17829] "262729_at" "262730_at"
## [17831] "262731_at" "262732_at"
## [17833] "262733_s_at" "262734_at"
## [17835] "262735_at" "262736_at"
## [17837] "262737_at" "262738_at"
## [17839] "262739_at" "262740_at"
## [17841] "262741_at" "262742_at"
## [17843] "262743_at" "262744_at"
## [17845] "262745_at" "262746_at"
## [17847] "262747_at" "262748_at"
## [17849] "262749_at" "262750_at"
## [17851] "262751_at" "262752_at"
## [17853] "262753_at" "262754_at"
## [17855] "262755_at" "262756_at"
## [17857] "262757_at" "262758_at"
## [17859] "262759_at" "262760_at"
## [17861] "262761_at" "262762_at"
## [17863] "262763_at" "262764_at"
## [17865] "262765_at" "262766_at"
## [17867] "262767_at" "262768_at"
## [17869] "262769_at" "262770_at"
## [17871] "262771_at" "262772_at"
## [17873] "262773_at" "262774_at"
## [17875] "262775_at" "262776_at"
## [17877] "262777_at" "262778_at"
## [17879] "262779_at" "262780_at"
## [17881] "262781_s_at" "262782_at"
## [17883] "262783_at" "262784_at"
## [17885] "262785_at" "262786_at"
## [17887] "262787_at" "262788_at"
## [17889] "262789_at" "262790_at"
## [17891] "262791_at" "262792_at"
## [17893] "262793_at" "262794_at"
## [17895] "262795_at" "262796_at"
## [17897] "262797_at" "262798_at"
## [17899] "262799_at" "262800_at"
## [17901] "262801_at" "262802_at"
## [17903] "262803_at" "262804_at"
## [17905] "262805_at" "262806_at"
## [17907] "262807_at" "262808_at"
## [17909] "262809_at" "262810_at"
## [17911] "262811_at" "262812_at"
## [17913] "262813_at" "262814_at"
## [17915] "262815_at" "262816_at"
## [17917] "262817_at" "262818_at"
## [17919] "262819_at" "262820_at"
## [17921] "262821_at" "262822_at"
## [17923] "262823_at" "262824_at"
## [17925] "262825_at" "262826_at"
## [17927] "262827_at" "262828_at"
## [17929] "262829_at" "262830_at"
## [17931] "262831_at" "262832_s_at"
## [17933] "262833_at" "262834_at"
## [17935] "262835_at" "262836_at"
## [17937] "262837_at" "262838_at"
## [17939] "262839_at" "262840_at"
## [17941] "262841_at" "262842_at"
## [17943] "262843_at" "262844_at"
## [17945] "262845_at" "262846_at"
## [17947] "262847_at" "262848_at"
## [17949] "262849_at" "262850_at"
## [17951] "262851_at" "262852_at"
## [17953] "262853_at" "262854_at"
## [17955] "262855_at" "262856_at"
## [17957] "262857_at" "262858_at"
## [17959] "262859_at" "262860_at"
## [17961] "262861_at" "262862_at"
## [17963] "262863_at" "262864_at"
## [17965] "262865_at" "262866_at"
## [17967] "262867_at" "262868_at"
## [17969] "262869_s_at" "262870_at"
## [17971] "262871_at" "262872_at"
## [17973] "262873_at" "262874_at"
## [17975] "262875_at" "262876_at"
## [17977] "262877_at" "262878_at"
## [17979] "262879_at" "262880_at"
## [17981] "262881_at" "262882_at"
## [17983] "262883_at" "262884_at"
## [17985] "262885_at" "262886_at"
## [17987] "262887_at" "262888_at"
## [17989] "262889_at" "262890_at"
## [17991] "262891_at" "262892_at"
## [17993] "262893_at" "262894_at"
## [17995] "262895_at" "262896_at"
## [17997] "262897_at" "262898_at"
## [17999] "262899_at" "262900_at"
## [18001] "262901_at" "262902_x_at"
## [18003] "262903_at" "262904_at"
## [18005] "262905_at" "262906_at"
## [18007] "262907_at" "262908_at"
## [18009] "262909_at" "262910_at"
## [18011] "262911_s_at" "262912_at"
## [18013] "262913_at" "262914_at"
## [18015] "262915_at" "262916_at"
## [18017] "262917_at" "262918_at"
## [18019] "262919_at" "262920_at"
## [18021] "262921_at" "262922_at"
## [18023] "262923_at" "262924_s_at"
## [18025] "262925_at" "262926_s_at"
## [18027] "262927_at" "262928_at"
## [18029] "262929_at" "262930_at"
## [18031] "262931_at" "262932_at"
## [18033] "262933_at" "262934_s_at"
## [18035] "262935_at" "262936_at"
## [18037] "262937_at" "262938_at"
## [18039] "262939_s_at" "262940_at"
## [18041] "262941_at" "262942_at"
## [18043] "262943_at" "262944_at"
## [18045] "262945_at" "262946_at"
## [18047] "262947_at" "262948_at"
## [18049] "262949_at" "262950_at"
## [18051] "262951_at" "262952_at"
## [18053] "262953_at" "262954_at"
## [18055] "262955_at" "262956_at"
## [18057] "262957_s_at" "262958_at"
## [18059] "262959_at" "262960_at"
## [18061] "262961_at" "262962_at"
## [18063] "262963_at" "262964_at"
## [18065] "262965_at" "262966_at"
## [18067] "262967_at" "262968_at"
## [18069] "262969_at" "262970_at"
## [18071] "262971_at" "262972_at"
## [18073] "262973_at" "262974_at"
## [18075] "262975_at" "262976_at"
## [18077] "262977_at" "262978_at"
## [18079] "262979_s_at" "262980_at"
## [18081] "262981_at" "262982_at"
## [18083] "262983_at" "262984_at"
## [18085] "262985_s_at" "262986_at"
## [18087] "262987_at" "262988_at"
## [18089] "262989_at" "262990_at"
## [18091] "262991_at" "262992_at"
## [18093] "262993_at" "262994_at"
## [18095] "262995_s_at" "262996_at"
## [18097] "262997_at" "262998_at"
## [18099] "262999_at" "263000_at"
## [18101] "263001_at" "263002_at"
## [18103] "263003_at" "263004_at"
## [18105] "263005_at" "263006_at"
## [18107] "263007_at" "263008_at"
## [18109] "263009_at" "263010_at"
## [18111] "263011_at" "263012_at"
## [18113] "263013_at" "263014_at"
## [18115] "263015_at" "263016_at"
## [18117] "263017_at" "263018_at"
## [18119] "263019_at" "263020_at"
## [18121] "263021_at" "263022_s_at"
## [18123] "263023_at" "263024_at"
## [18125] "263025_at" "263026_at"
## [18127] "263027_at" "263028_at"
## [18129] "263029_at" "263030_at"
## [18131] "263031_at" "263032_at"
## [18133] "263033_s_at" "263034_at"
## [18135] "263035_at" "263036_at"
## [18137] "263037_at" "263038_at"
## [18139] "263039_at" "263040_at"
## [18141] "263041_at" "263042_at"
## [18143] "263043_at" "263044_at"
## [18145] "263045_at" "263046_at"
## [18147] "263047_at" "263048_s_at"
## [18149] "263049_at" "263050_at"
## [18151] "263051_s_at" "263052_at"
## [18153] "263053_at" "263054_at"
## [18155] "263055_at" "263056_at"
## [18157] "263057_at" "263058_at"
## [18159] "263059_at" "263060_s_at"
## [18161] "263061_at" "263062_at"
## [18163] "263063_s_at" "263064_at"
## [18165] "263065_at" "263066_at"
## [18167] "263067_at" "263068_at"
## [18169] "263069_at" "263070_at"
## [18171] "263071_at" "263072_at"
## [18173] "263073_at" "263074_at"
## [18175] "263075_at" "263076_at"
## [18177] "263077_at" "263078_at"
## [18179] "263079_at" "263080_at"
## [18181] "263081_at" "263082_at"
## [18183] "263083_at" "263084_at"
## [18185] "263085_at" "263086_at"
## [18187] "263087_s_at" "263088_at"
## [18189] "263089_at" "263090_at"
## [18191] "263091_at" "263092_at"
## [18193] "263093_at" "263094_at"
## [18195] "263095_at" "263096_at"
## [18197] "263097_at" "263098_at"
## [18199] "263099_at" "263100_at"
## [18201] "263101_s_at" "263102_at"
## [18203] "263103_at" "263104_at"
## [18205] "263105_at" "263106_at"
## [18207] "263107_at" "263108_at"
## [18209] "263109_at" "263110_at"
## [18211] "263111_s_at" "263112_at"
## [18213] "263113_at" "263114_at"
## [18215] "263115_at" "263116_s_at"
## [18217] "263117_at" "263118_at"
## [18219] "263119_at" "263120_at"
## [18221] "263121_at" "263122_at"
## [18223] "263123_at" "263124_at"
## [18225] "263125_at" "263126_at"
## [18227] "263127_at" "263128_at"
## [18229] "263129_at" "263130_at"
## [18231] "263131_at" "263132_at"
## [18233] "263133_at" "263134_at"
## [18235] "263135_at" "263136_at"
## [18237] "263137_at" "263138_at"
## [18239] "263139_at" "263140_at"
## [18241] "263141_at" "263142_at"
## [18243] "263143_at" "263144_at"
## [18245] "263145_at" "263146_at"
## [18247] "263147_at" "263148_at"
## [18249] "263149_at" "263150_at"
## [18251] "263151_at" "263152_at"
## [18253] "263153_s_at" "263154_at"
## [18255] "263155_at" "263156_at"
## [18257] "263157_at" "263158_at"
## [18259] "263159_at" "263160_at"
## [18261] "263161_at" "263162_at"
## [18263] "263163_at" "263164_at"
## [18265] "263165_at" "263166_at"
## [18267] "263167_at" "263168_at"
## [18269] "263169_at" "263170_at"
## [18271] "263171_at" "263172_at"
## [18273] "263173_at" "263174_at"
## [18275] "263175_at" "263176_at"
## [18277] "263177_at" "263178_at"
## [18279] "263179_at" "263180_at"
## [18281] "263181_at" "263182_at"
## [18283] "263183_at" "263184_at"
## [18285] "263185_at" "263186_at"
## [18287] "263187_at" "263188_at"
## [18289] "263189_at" "263190_at"
## [18291] "263191_at" "263192_at"
## [18293] "263193_at" "263194_at"
## [18295] "263195_at" "263196_at"
## [18297] "263197_at" "263198_at"
## [18299] "263199_at" "263200_at"
## [18301] "263201_at" "263202_at"
## [18303] "263203_at" "263204_at"
## [18305] "263205_at" "263206_at"
## [18307] "263207_at" "263208_at"
## [18309] "263209_at" "263210_at"
## [18311] "263211_at" "263212_at"
## [18313] "263213_at" "263214_at"
## [18315] "263215_at" "263216_s_at"
## [18317] "263217_at" "263218_at"
## [18319] "263219_at" "263220_at"
## [18321] "263221_at" "263222_at"
## [18323] "263223_at" "263224_at"
## [18325] "263225_at" "263226_at"
## [18327] "263227_at" "263228_at"
## [18329] "263229_s_at" "263230_at"
## [18331] "263231_at" "263232_at"
## [18333] "263233_at" "263234_at"
## [18335] "263235_at" "263236_at"
## [18337] "263237_at" "263238_at"
## [18339] "263239_at" "263240_s_at"
## [18341] "263241_at" "263242_at"
## [18343] "263243_at" "263244_at"
## [18345] "263245_at" "263246_at"
## [18347] "263247_at" "263248_at"
## [18349] "263249_at" "263250_at"
## [18351] "263251_at" "263252_at"
## [18353] "263253_at" "263254_x_at"
## [18355] "263255_at" "263256_at"
## [18357] "263257_at" "263258_at"
## [18359] "263259_at" "263260_at"
## [18361] "263261_at" "263262_at"
## [18363] "263263_at" "263264_at"
## [18365] "263265_at" "263266_at"
## [18367] "263267_at" "263268_at"
## [18369] "263269_at" "263270_at"
## [18371] "263271_s_at" "263272_at"
## [18373] "263273_x_at" "263274_at"
## [18375] "263275_at" "263276_at"
## [18377] "263277_at" "263278_at"
## [18379] "263279_x_at" "263280_x_at"
## [18381] "263281_at" "263282_at"
## [18383] "263283_at" "263284_at"
## [18385] "263285_at" "263286_at"
## [18387] "263287_at" "263288_at"
## [18389] "263289_at" "263290_at"
## [18391] "263291_at" "263292_at"
## [18393] "263293_x_at" "263294_at"
## [18395] "263295_at" "263296_at"
## [18397] "263297_at" "263298_at"
## [18399] "263299_s_at" "263300_at"
## [18401] "263301_x_at" "263302_at"
## [18403] "263303_at" "263304_at"
## [18405] "263305_at" "263306_at"
## [18407] "263307_at" "263308_at"
## [18409] "263309_at" "263310_s_at"
## [18411] "263311_at" "263312_at"
## [18413] "263313_at" "263314_at"
## [18415] "263315_at" "263316_s_at"
## [18417] "263317_s_at" "263318_at"
## [18419] "263319_at" "263320_at"
## [18421] "263321_at" "263322_at"
## [18423] "263323_at" "263324_at"
## [18425] "263325_at" "263326_at"
## [18427] "263327_at" "263328_at"
## [18429] "263329_at" "263330_at"
## [18431] "263331_at" "263332_at"
## [18433] "263333_at" "263334_at"
## [18435] "263335_x_at" "263336_x_at"
## [18437] "263337_at" "263338_at"
## [18439] "263339_at" "263340_at"
## [18441] "263341_at" "263342_at"
## [18443] "263343_at" "263344_at"
## [18445] "263345_s_at" "263346_at"
## [18447] "263347_at" "263348_at"
## [18449] "263349_at" "263350_at"
## [18451] "263351_at" "263352_at"
## [18453] "263353_at" "263354_at"
## [18455] "263355_at" "263356_at"
## [18457] "263357_s_at" "263358_x_at"
## [18459] "263359_at" "263360_at"
## [18461] "263361_at" "263362_at"
## [18463] "263363_at" "263364_at"
## [18465] "263365_at" "263366_at"
## [18467] "263367_at" "263368_at"
## [18469] "263369_at" "263370_at"
## [18471] "263371_at" "263372_at"
## [18473] "263373_at" "263374_at"
## [18475] "263375_s_at" "263376_at"
## [18477] "263377_at" "263378_at"
## [18479] "263379_at" "263380_at"
## [18481] "263381_at" "263382_at"
## [18483] "263383_at" "263384_at"
## [18485] "263385_at" "263386_at"
## [18487] "263387_at" "263388_at"
## [18489] "263389_at" "263390_at"
## [18491] "263391_at" "263392_at"
## [18493] "263393_at" "263394_at"
## [18495] "263395_at" "263396_at"
## [18497] "263397_s_at" "263398_at"
## [18499] "263399_at" "263400_s_at"
## [18501] "263401_at" "263402_at"
## [18503] "263403_at" "263404_s_at"
## [18505] "263405_s_at" "263406_at"
## [18507] "263407_at" "263408_at"
## [18509] "263409_at" "263410_at"
## [18511] "263411_at" "263412_at"
## [18513] "263413_at" "263414_at"
## [18515] "263415_at" "263416_at"
## [18517] "263417_at" "263418_at"
## [18519] "263419_at" "263420_at"
## [18521] "263421_at" "263422_s_at"
## [18523] "263423_at" "263424_at"
## [18525] "263425_at" "263426_at"
## [18527] "263427_at" "263428_at"
## [18529] "263429_at" "263430_at"
## [18531] "263431_at" "263432_at"
## [18533] "263433_at" "263434_at"
## [18535] "263435_at" "263436_at"
## [18537] "263437_at" "263438_at"
## [18539] "263439_at" "263440_at"
## [18541] "263441_at" "263442_at"
## [18543] "263443_at" "263444_at"
## [18545] "263445_at" "263446_at"
## [18547] "263447_s_at" "263448_at"
## [18549] "263449_at" "263450_at"
## [18551] "263451_at" "263452_at"
## [18553] "263453_at" "263454_at"
## [18555] "263455_at" "263456_at"
## [18557] "263457_at" "263458_at"
## [18559] "263459_at" "263460_at"
## [18561] "263461_at" "263462_at"
## [18563] "263463_at" "263464_at"
## [18565] "263465_at" "263466_at"
## [18567] "263467_at" "263468_at"
## [18569] "263469_at" "263470_at"
## [18571] "263471_at" "263472_at"
## [18573] "263473_at" "263474_at"
## [18575] "263475_at" "263476_at"
## [18577] "263477_at" "263478_at"
## [18579] "263479_x_at" "263480_at"
## [18581] "263481_at" "263482_at"
## [18583] "263483_at" "263484_at"
## [18585] "263485_at" "263486_at"
## [18587] "263487_at" "263488_at"
## [18589] "263489_at" "263490_at"
## [18591] "263491_at" "263492_at"
## [18593] "263493_at" "263494_at"
## [18595] "263495_at" "263496_at"
## [18597] "263497_at" "263498_at"
## [18599] "263499_at" "263500_s_at"
## [18601] "263501_s_at" "263502_s_at"
## [18603] "263503_s_at" "263504_s_at"
## [18605] "263505_s_at" "263506_s_at"
## [18607] "263507_s_at" "263508_s_at"
## [18609] "263509_s_at" "263510_s_at"
## [18611] "263511_at" "263512_at"
## [18613] "263513_at" "263514_at"
## [18615] "263515_at" "263516_at"
## [18617] "263517_at" "263518_at"
## [18619] "263519_at" "263520_at"
## [18621] "263521_at" "263522_at"
## [18623] "263523_at" "263524_x_at"
## [18625] "263525_at" "263526_at"
## [18627] "263527_at" "263528_at"
## [18629] "263529_at" "263530_at"
## [18631] "263531_s_at" "263532_s_at"
## [18633] "263533_at" "263534_at"
## [18635] "263535_at" "263536_at"
## [18637] "263537_at" "263538_at"
## [18639] "263539_at" "263540_at"
## [18641] "263541_at" "263542_at"
## [18643] "263543_at" "263544_at"
## [18645] "263545_at" "263546_at"
## [18647] "263547_at" "263548_at"
## [18649] "263549_at" "263550_at"
## [18651] "263551_at" "263552_x_at"
## [18653] "263553_at" "263554_at"
## [18655] "263555_at" "263556_at"
## [18657] "263557_at" "263558_at"
## [18659] "263559_at" "263560_s_at"
## [18661] "263561_at" "263562_at"
## [18663] "263563_at" "263564_s_at"
## [18665] "263565_at" "263566_at"
## [18667] "263567_at" "263568_at"
## [18669] "263569_at" "263570_at"
## [18671] "263571_at" "263572_at"
## [18673] "263573_at" "263574_at"
## [18675] "263575_at" "263576_at"
## [18677] "263577_at" "263578_at"
## [18679] "263579_at" "263580_at"
## [18681] "263581_at" "263582_at"
## [18683] "263583_at" "263584_at"
## [18685] "263585_at" "263586_at"
## [18687] "263587_at" "263588_s_at"
## [18689] "263589_at" "263590_at"
## [18691] "263591_at" "263592_at"
## [18693] "263593_at" "263594_at"
## [18695] "263595_at" "263596_at"
## [18697] "263597_at" "263598_at"
## [18699] "263599_at" "263600_at"
## [18701] "263601_s_at" "263602_at"
## [18703] "263603_at" "263604_s_at"
## [18705] "263605_at" "263606_at"
## [18707] "263607_at" "263608_at"
## [18709] "263609_at" "263610_at"
## [18711] "263611_at" "263612_at"
## [18713] "263613_at" "263614_at"
## [18715] "263615_at" "263616_at"
## [18717] "263617_at" "263618_at"
## [18719] "263619_at" "263620_at"
## [18721] "263621_at" "263622_at"
## [18723] "263623_at" "263624_at"
## [18725] "263625_at" "263626_at"
## [18727] "263627_at" "263628_at"
## [18729] "263629_at" "263630_at"
## [18731] "263631_at" "263632_at"
## [18733] "263633_at" "263634_at"
## [18735] "263635_at" "263636_at"
## [18737] "263637_at" "263638_at"
## [18739] "263639_at" "263640_at"
## [18741] "263641_at" "263642_at"
## [18743] "263643_at" "263644_at"
## [18745] "263645_at" "263646_at"
## [18747] "263647_at" "263648_at"
## [18749] "263649_at" "263650_at"
## [18751] "263651_at" "263652_at"
## [18753] "263653_at" "263654_at"
## [18755] "263655_at" "263656_at"
## [18757] "263657_at" "263658_at"
## [18759] "263659_at" "263660_at"
## [18761] "263661_at" "263662_at"
## [18763] "263663_at" "263664_at"
## [18765] "263665_at" "263666_at"
## [18767] "263667_at" "263668_at"
## [18769] "263669_at" "263670_at"
## [18771] "263671_at" "263672_at"
## [18773] "263673_at" "263674_at"
## [18775] "263675_x_at" "263676_at"
## [18777] "263677_at" "263678_at"
## [18779] "263679_at" "263680_at"
## [18781] "263681_at" "263682_at"
## [18783] "263683_at" "263684_at"
## [18785] "263685_at" "263686_at"
## [18787] "263687_at" "263688_at"
## [18789] "263689_at" "263690_at"
## [18791] "263691_at" "263692_at"
## [18793] "263693_at" "263694_at"
## [18795] "263695_at" "263696_at"
## [18797] "263697_at" "263698_at"
## [18799] "263699_at" "263700_at"
## [18801] "263701_at" "263702_at"
## [18803] "263703_at" "263704_at"
## [18805] "263705_at" "263706_s_at"
## [18807] "263707_at" "263708_at"
## [18809] "263709_at" "263710_at"
## [18811] "263711_at" "263712_at"
## [18813] "263713_at" "263714_at"
## [18815] "263715_at" "263716_at"
## [18817] "263717_at" "263718_at"
## [18819] "263719_at" "263720_at"
## [18821] "263721_at" "263722_at"
## [18823] "263723_at" "263724_at"
## [18825] "263725_at" "263726_at"
## [18827] "263727_at" "263728_at"
## [18829] "263729_at" "263730_at"
## [18831] "263731_at" "263732_at"
## [18833] "263733_at" "263734_at"
## [18835] "263735_s_at" "263736_at"
## [18837] "263737_at" "263738_at"
## [18839] "263739_at" "263740_at"
## [18841] "263741_at" "263742_at"
## [18843] "263743_at" "263744_at"
## [18845] "263745_at" "263746_at"
## [18847] "263747_at" "263748_at"
## [18849] "263749_at" "263750_at"
## [18851] "263751_at" "263752_at"
## [18853] "263753_at" "263754_at"
## [18855] "263755_at" "263756_at"
## [18857] "263757_at" "263758_s_at"
## [18859] "263759_at" "263760_at"
## [18861] "263761_at" "263762_at"
## [18863] "263763_at" "263764_at"
## [18865] "263765_at" "263766_at"
## [18867] "263767_at" "263768_x_at"
## [18869] "263769_at" "263770_at"
## [18871] "263771_at" "263772_at"
## [18873] "263773_at" "263774_at"
## [18875] "263775_at" "263776_s_at"
## [18877] "263777_at" "263778_at"
## [18879] "263779_at" "263780_at"
## [18881] "263781_at" "263782_at"
## [18883] "263783_at" "263784_at"
## [18885] "263785_at" "263786_at"
## [18887] "263787_at" "263788_at"
## [18889] "263789_at" "263790_at"
## [18891] "263791_at" "263792_at"
## [18893] "263793_at" "263794_at"
## [18895] "263795_at" "263796_at"
## [18897] "263797_at" "263798_at"
## [18899] "263799_at" "263800_at"
## [18901] "263801_at" "263802_at"
## [18903] "263803_at" "263804_at"
## [18905] "263805_at" "263806_at"
## [18907] "263807_at" "263808_at"
## [18909] "263809_at" "263810_at"
## [18911] "263811_at" "263812_at"
## [18913] "263813_s_at" "263814_at"
## [18915] "263815_at" "263816_at"
## [18917] "263817_at" "263818_at"
## [18919] "263819_x_at" "263820_at"
## [18921] "263821_s_at" "263822_at"
## [18923] "263823_s_at" "263824_at"
## [18925] "263825_at" "263826_at"
## [18927] "263827_at" "263828_at"
## [18929] "263829_at" "263830_at"
## [18931] "263831_at" "263832_at"
## [18933] "263833_at" "263834_at"
## [18935] "263835_at" "263836_at"
## [18937] "263837_at" "263838_at"
## [18939] "263839_at" "263840_at"
## [18941] "263841_at" "263842_at"
## [18943] "263843_at" "263844_at"
## [18945] "263845_at" "263846_at"
## [18947] "263847_at" "263848_at"
## [18949] "263849_at" "263850_at"
## [18951] "263851_at" "263852_at"
## [18953] "263853_at" "263854_at"
## [18955] "263855_at" "263856_at"
## [18957] "263857_at" "263858_at"
## [18959] "263859_at" "263860_at"
## [18961] "263861_at" "263862_at"
## [18963] "263863_at" "263864_at"
## [18965] "263865_at" "263866_at"
## [18967] "263867_at" "263868_at"
## [18969] "263869_at" "263870_at"
## [18971] "263871_at" "263872_at"
## [18973] "263873_at" "263874_at"
## [18975] "263875_at" "263876_at"
## [18977] "263877_at" "263878_s_at"
## [18979] "263879_at" "263880_at"
## [18981] "263881_at" "263882_at"
## [18983] "263883_at" "263884_at"
## [18985] "263885_at" "263886_at"
## [18987] "263887_at" "263888_at"
## [18989] "263889_at" "263890_at"
## [18991] "263891_at" "263892_at"
## [18993] "263893_at" "263894_at"
## [18995] "263895_at" "263896_at"
## [18997] "263897_at" "263898_at"
## [18999] "263899_at" "263900_at"
## [19001] "263901_at" "263902_at"
## [19003] "263903_at" "263904_at"
## [19005] "263905_at" "263906_at"
## [19007] "263907_at" "263908_at"
## [19009] "263909_at" "263910_at"
## [19011] "263911_at" "263912_at"
## [19013] "263913_at" "263914_at"
## [19015] "263915_at" "263916_at"
## [19017] "263917_at" "263918_at"
## [19019] "263919_at" "263920_at"
## [19021] "263921_at" "263922_s_at"
## [19023] "263923_at" "263924_at"
## [19025] "263925_at" "263926_at"
## [19027] "263927_s_at" "263928_at"
## [19029] "263929_at" "263930_at"
## [19031] "263931_at" "263932_at"
## [19033] "263933_s_at" "263934_at"
## [19035] "263935_at" "263936_at"
## [19037] "263937_at" "263938_at"
## [19039] "263939_at" "263940_at"
## [19041] "263941_at" "263942_at"
## [19043] "263943_at" "263944_at"
## [19045] "263945_at" "263946_at"
## [19047] "263947_at" "263948_at"
## [19049] "263949_at" "263950_at"
## [19051] "263951_at" "263952_s_at"
## [19053] "263953_at" "263954_at"
## [19055] "263955_at" "263956_at"
## [19057] "263957_at" "263958_at"
## [19059] "263959_at" "263960_at"
## [19061] "263961_at" "263962_at"
## [19063] "263963_at" "263964_at"
## [19065] "263965_at" "263966_s_at"
## [19067] "263967_at" "263968_s_at"
## [19069] "263969_at" "263970_at"
## [19071] "263971_at" "263972_at"
## [19073] "263973_at" "263974_at"
## [19075] "263975_at" "263976_at"
## [19077] "263977_at" "263978_at"
## [19079] "263979_at" "263980_at"
## [19081] "263981_at" "263982_at"
## [19083] "263983_at" "263984_at"
## [19085] "263985_at" "263986_at"
## [19087] "263987_at" "263988_at"
## [19089] "263989_at" "263990_at"
## [19091] "263991_at" "263992_at"
## [19093] "263993_at" "263994_at"
## [19095] "263995_at" "263996_at"
## [19097] "263997_at" "263998_at"
## [19099] "263999_at" "264000_at"
## [19101] "264001_at" "264002_at"
## [19103] "264003_at" "264004_at"
## [19105] "264005_at" "264006_at"
## [19107] "264007_at" "264008_at"
## [19109] "264009_at" "264010_at"
## [19111] "264011_at" "264012_at"
## [19113] "264013_at" "264014_at"
## [19115] "264015_at" "264016_at"
## [19117] "264017_s_at" "264018_at"
## [19119] "264019_at" "264020_at"
## [19121] "264021_at" "264022_at"
## [19123] "264023_at" "264024_at"
## [19125] "264025_at" "264026_at"
## [19127] "264027_at" "264028_at"
## [19129] "264029_at" "264030_at"
## [19131] "264031_at" "264032_at"
## [19133] "264033_at" "264034_s_at"
## [19135] "264035_at" "264036_at"
## [19137] "264037_at" "264038_at"
## [19139] "264039_at" "264040_at"
## [19141] "264041_at" "264042_at"
## [19143] "264043_at" "264044_at"
## [19145] "264045_at" "264046_at"
## [19147] "264047_at" "264048_at"
## [19149] "264049_at" "264050_at"
## [19151] "264051_at" "264052_at"
## [19153] "264053_at" "264054_at"
## [19155] "264055_at" "264056_at"
## [19157] "264057_at" "264058_at"
## [19159] "264059_at" "264060_at"
## [19161] "264061_at" "264062_at"
## [19163] "264063_at" "264064_at"
## [19165] "264065_at" "264066_at"
## [19167] "264067_x_at" "264068_at"
## [19169] "264069_at" "264070_at"
## [19171] "264071_at" "264072_at"
## [19173] "264073_at" "264074_at"
## [19175] "264075_at" "264076_at"
## [19177] "264077_at" "264078_at"
## [19179] "264079_at" "264080_at"
## [19181] "264081_at" "264082_at"
## [19183] "264083_at" "264084_at"
## [19185] "264085_at" "264086_at"
## [19187] "264087_at" "264088_at"
## [19189] "264089_at" "264090_at"
## [19191] "264091_at" "264092_at"
## [19193] "264093_at" "264094_at"
## [19195] "264095_at" "264096_at"
## [19197] "264097_s_at" "264098_at"
## [19199] "264099_at" "264100_at"
## [19201] "264101_at" "264102_at"
## [19203] "264103_at" "264104_at"
## [19205] "264105_x_at" "264106_at"
## [19207] "264107_s_at" "264108_at"
## [19209] "264109_at" "264110_at"
## [19211] "264111_at" "264112_at"
## [19213] "264113_at" "264114_at"
## [19215] "264115_at" "264116_at"
## [19217] "264117_at" "264118_at"
## [19219] "264119_at" "264120_at"
## [19221] "264121_at" "264122_at"
## [19223] "264123_at" "264124_at"
## [19225] "264125_at" "264126_at"
## [19227] "264127_at" "264128_at"
## [19229] "264129_at" "264130_at"
## [19231] "264131_at" "264132_at"
## [19233] "264133_at" "264134_at"
## [19235] "264135_at" "264136_at"
## [19237] "264137_at" "264138_at"
## [19239] "264139_at" "264140_at"
## [19241] "264141_at" "264142_at"
## [19243] "264143_at" "264144_at"
## [19245] "264145_at" "264146_at"
## [19247] "264147_at" "264148_at"
## [19249] "264149_at" "264150_at"
## [19251] "264151_at" "264152_at"
## [19253] "264153_at" "264154_at"
## [19255] "264155_at" "264156_at"
## [19257] "264157_at" "264158_at"
## [19259] "264159_at" "264160_at"
## [19261] "264161_at" "264162_at"
## [19263] "264163_at" "264164_at"
## [19265] "264165_at" "264166_at"
## [19267] "264167_at" "264168_at"
## [19269] "264169_at" "264170_at"
## [19271] "264171_at" "264172_at"
## [19273] "264173_at" "264174_s_at"
## [19275] "264175_at" "264176_at"
## [19277] "264177_at" "264178_at"
## [19279] "264179_at" "264180_at"
## [19281] "264181_at" "264182_at"
## [19283] "264183_at" "264184_at"
## [19285] "264185_at" "264186_at"
## [19287] "264187_at" "264188_at"
## [19289] "264189_s_at" "264190_at"
## [19291] "264191_at" "264192_at"
## [19293] "264193_at" "264194_at"
## [19295] "264195_at" "264196_at"
## [19297] "264197_at" "264198_at"
## [19299] "264199_at" "264200_at"
## [19301] "264201_at" "264202_at"
## [19303] "264203_at" "264204_at"
## [19305] "264205_at" "264206_at"
## [19307] "264207_at" "264208_at"
## [19309] "264209_at" "264210_at"
## [19311] "264211_at" "264212_at"
## [19313] "264213_at" "264214_s_at"
## [19315] "264215_at" "264216_at"
## [19317] "264217_at" "264218_at"
## [19319] "264219_at" "264220_at"
## [19321] "264221_s_at" "264222_at"
## [19323] "264223_s_at" "264224_at"
## [19325] "264225_at" "264226_at"
## [19327] "264227_at" "264228_at"
## [19329] "264229_at" "264230_at"
## [19331] "264231_at" "264232_at"
## [19333] "264233_at" "264234_at"
## [19335] "264235_at" "264236_at"
## [19337] "264237_at" "264238_at"
## [19339] "264239_at" "264240_at"
## [19341] "264241_at" "264242_at"
## [19343] "264243_at" "264244_at"
## [19345] "264245_at" "264246_at"
## [19347] "264247_at" "264248_at"
## [19349] "264249_at" "264250_at"
## [19351] "264251_at" "264252_at"
## [19353] "264253_at" "264254_at"
## [19355] "264255_at" "264256_at"
## [19357] "264257_at" "264258_at"
## [19359] "264259_at" "264260_at"
## [19361] "264261_at" "264262_at"
## [19363] "264263_at" "264264_at"
## [19365] "264265_at" "264266_at"
## [19367] "264267_at" "264268_at"
## [19369] "264269_at" "264270_at"
## [19371] "264271_at" "264272_at"
## [19373] "264273_s_at" "264274_at"
## [19375] "264275_at" "264276_at"
## [19377] "264277_at" "264278_at"
## [19379] "264279_s_at" "264280_at"
## [19381] "264281_at" "264282_at"
## [19383] "264283_at" "264284_at"
## [19385] "264285_at" "264286_at"
## [19387] "264287_at" "264288_at"
## [19389] "264289_at" "264290_at"
## [19391] "264291_at" "264292_at"
## [19393] "264293_at" "264294_at"
## [19395] "264295_at" "264296_at"
## [19397] "264297_at" "264298_at"
## [19399] "264299_s_at" "264300_at"
## [19401] "264301_at" "264302_at"
## [19403] "264303_s_at" "264304_at"
## [19405] "264305_at" "264306_at"
## [19407] "264307_at" "264308_at"
## [19409] "264309_at" "264310_at"
## [19411] "264311_at" "264312_at"
## [19413] "264313_at" "264314_at"
## [19415] "264315_at" "264316_at"
## [19417] "264317_at" "264318_at"
## [19419] "264319_at" "264320_at"
## [19421] "264321_at" "264322_at"
## [19423] "264323_at" "264324_at"
## [19425] "264325_at" "264326_at"
## [19427] "264327_at" "264328_at"
## [19429] "264329_at" "264330_at"
## [19431] "264331_at" "264332_at"
## [19433] "264333_at" "264334_at"
## [19435] "264335_s_at" "264336_at"
## [19437] "264337_at" "264338_at"
## [19439] "264339_at" "264340_at"
## [19441] "264341_at" "264342_at"
## [19443] "264343_at" "264344_at"
## [19445] "264345_at" "264346_at"
## [19447] "264347_at" "264348_at"
## [19449] "264349_at" "264350_at"
## [19451] "264351_at" "264352_at"
## [19453] "264353_at" "264354_s_at"
## [19455] "264355_at" "264356_at"
## [19457] "264357_at" "264358_at"
## [19459] "264359_at" "264360_at"
## [19461] "264361_at" "264362_at"
## [19463] "264363_at" "264364_at"
## [19465] "264365_s_at" "264366_at"
## [19467] "264367_at" "264368_at"
## [19469] "264369_at" "264370_at"
## [19471] "264371_at" "264372_at"
## [19473] "264373_at" "264374_at"
## [19475] "264375_at" "264376_at"
## [19477] "264377_at" "264378_at"
## [19479] "264379_at" "264380_at"
## [19481] "264381_at" "264382_at"
## [19483] "264383_at" "264384_at"
## [19485] "264385_at" "264386_at"
## [19487] "264387_at" "264388_at"
## [19489] "264389_at" "264390_at"
## [19491] "264391_at" "264392_at"
## [19493] "264393_at" "264394_at"
## [19495] "264395_at" "264396_at"
## [19497] "264397_at" "264398_at"
## [19499] "264399_at" "264400_at"
## [19501] "264401_at" "264402_at"
## [19503] "264403_at" "264404_at"
## [19505] "264405_at" "264406_at"
## [19507] "264407_at" "264408_at"
## [19509] "264409_s_at" "264410_s_at"
## [19511] "264411_at" "264412_at"
## [19513] "264413_s_at" "264414_s_at"
## [19515] "264415_at" "264416_at"
## [19517] "264417_at" "264418_at"
## [19519] "264419_s_at" "264420_at"
## [19521] "264421_at" "264422_at"
## [19523] "264423_at" "264424_at"
## [19525] "264425_at" "264426_at"
## [19527] "264427_at" "264428_at"
## [19529] "264429_at" "264430_at"
## [19531] "264431_at" "264432_at"
## [19533] "264433_at" "264434_at"
## [19535] "264435_at" "264436_at"
## [19537] "264437_at" "264438_at"
## [19539] "264439_at" "264440_at"
## [19541] "264441_at" "264442_at"
## [19543] "264443_at" "264444_at"
## [19545] "264445_at" "264446_at"
## [19547] "264447_at" "264448_at"
## [19549] "264449_at" "264450_s_at"
## [19551] "264451_s_at" "264452_at"
## [19553] "264453_at" "264454_at"
## [19555] "264455_at" "264456_at"
## [19557] "264457_at" "264458_at"
## [19559] "264459_at" "264460_at"
## [19561] "264461_s_at" "264462_at"
## [19563] "264463_at" "264464_at"
## [19565] "264465_at" "264466_at"
## [19567] "264467_at" "264468_at"
## [19569] "264469_at" "264470_at"
## [19571] "264471_at" "264472_at"
## [19573] "264473_at" "264474_s_at"
## [19575] "264475_s_at" "264476_at"
## [19577] "264477_at" "264478_at"
## [19579] "264479_at" "264480_at"
## [19581] "264481_at" "264482_at"
## [19583] "264483_at" "264484_at"
## [19585] "264485_at" "264486_at"
## [19587] "264487_at" "264488_s_at"
## [19589] "264489_at" "264490_at"
## [19591] "264491_at" "264492_at"
## [19593] "264493_at" "264494_at"
## [19595] "264495_at" "264496_at"
## [19597] "264497_at" "264498_at"
## [19599] "264499_at" "264500_at"
## [19601] "264501_at" "264502_at"
## [19603] "264503_at" "264504_at"
## [19605] "264505_at" "264506_at"
## [19607] "264507_at" "264508_at"
## [19609] "264509_at" "264510_at"
## [19611] "264511_at" "264512_at"
## [19613] "264513_at" "264514_at"
## [19615] "264515_at" "264516_at"
## [19617] "264517_at" "264518_at"
## [19619] "264519_at" "264520_at"
## [19621] "264521_at" "264522_at"
## [19623] "264523_at" "264524_at"
## [19625] "264525_at" "264526_at"
## [19627] "264527_at" "264528_at"
## [19629] "264529_at" "264530_at"
## [19631] "264531_at" "264532_at"
## [19633] "264533_s_at" "264534_at"
## [19635] "264535_at" "264536_at"
## [19637] "264537_at" "264538_at"
## [19639] "264539_at" "264540_at"
## [19641] "264541_at" "264542_at"
## [19643] "264543_at" "264544_s_at"
## [19645] "264545_at" "264546_at"
## [19647] "264547_at" "264548_at"
## [19649] "264549_at" "264550_at"
## [19651] "264551_at" "264552_at"
## [19653] "264553_s_at" "264554_at"
## [19655] "264555_at" "264556_at"
## [19657] "264557_at" "264558_at"
## [19659] "264559_at" "264560_at"
## [19661] "264561_at" "264562_at"
## [19663] "264563_s_at" "264564_at"
## [19665] "264565_at" "264566_at"
## [19667] "264567_s_at" "264568_at"
## [19669] "264569_at" "264570_at"
## [19671] "264571_at" "264572_at"
## [19673] "264573_at" "264574_at"
## [19675] "264575_at" "264576_at"
## [19677] "264577_at" "264578_at"
## [19679] "264579_at" "264580_at"
## [19681] "264581_at" "264582_at"
## [19683] "264583_at" "264584_at"
## [19685] "264585_at" "264586_at"
## [19687] "264587_at" "264588_at"
## [19689] "264589_at" "264590_at"
## [19691] "264591_at" "264592_at"
## [19693] "264593_at" "264594_at"
## [19695] "264595_at" "264596_at"
## [19697] "264597_at" "264598_at"
## [19699] "264599_at" "264600_at"
## [19701] "264601_at" "264602_at"
## [19703] "264603_at" "264604_at"
## [19705] "264605_at" "264606_at"
## [19707] "264607_at" "264608_at"
## [19709] "264609_at" "264610_at"
## [19711] "264611_at" "264612_at"
## [19713] "264613_at" "264614_s_at"
## [19715] "264615_at" "264616_at"
## [19717] "264617_at" "264618_at"
## [19719] "264619_at" "264620_at"
## [19721] "264621_at" "264622_at"
## [19723] "264623_at" "264624_at"
## [19725] "264625_at" "264626_at"
## [19727] "264627_at" "264628_at"
## [19729] "264629_at" "264630_at"
## [19731] "264631_at" "264632_at"
## [19733] "264633_at" "264634_at"
## [19735] "264635_at" "264636_at"
## [19737] "264637_at" "264638_at"
## [19739] "264639_at" "264640_at"
## [19741] "264641_at" "264642_at"
## [19743] "264643_at" "264644_at"
## [19745] "264645_at" "264646_at"
## [19747] "264647_at" "264648_at"
## [19749] "264649_at" "264650_at"
## [19751] "264651_at" "264652_at"
## [19753] "264653_at" "264654_s_at"
## [19755] "264655_at" "264656_at"
## [19757] "264657_at" "264658_at"
## [19759] "264659_at" "264660_at"
## [19761] "264661_at" "264662_at"
## [19763] "264663_at" "264664_at"
## [19765] "264665_at" "264666_at"
## [19767] "264667_s_at" "264668_at"
## [19769] "264669_at" "264670_s_at"
## [19771] "264671_at" "264672_at"
## [19773] "264673_at" "264674_at"
## [19775] "264675_at" "264676_at"
## [19777] "264677_at" "264678_at"
## [19779] "264679_s_at" "264680_at"
## [19781] "264681_s_at" "264682_at"
## [19783] "264683_at" "264684_at"
## [19785] "264685_at" "264686_at"
## [19787] "264687_at" "264688_at"
## [19789] "264689_at" "264690_at"
## [19791] "264691_s_at" "264692_at"
## [19793] "264693_at" "264694_at"
## [19795] "264695_at" "264696_at"
## [19797] "264697_at" "264698_at"
## [19799] "264699_at" "264700_at"
## [19801] "264701_at" "264702_at"
## [19803] "264703_at" "264704_at"
## [19805] "264705_at" "264706_at"
## [19807] "264707_at" "264708_at"
## [19809] "264709_at" "264710_at"
## [19811] "264711_at" "264712_at"
## [19813] "264713_at" "264714_at"
## [19815] "264715_at" "264716_at"
## [19817] "264717_at" "264718_at"
## [19819] "264719_at" "264720_at"
## [19821] "264721_at" "264722_at"
## [19823] "264723_at" "264724_at"
## [19825] "264725_at" "264726_at"
## [19827] "264727_at" "264728_at"
## [19829] "264729_at" "264730_at"
## [19831] "264731_at" "264732_at"
## [19833] "264733_at" "264734_at"
## [19835] "264735_s_at" "264736_at"
## [19837] "264737_at" "264738_at"
## [19839] "264739_at" "264740_at"
## [19841] "264741_at" "264742_at"
## [19843] "264743_at" "264744_at"
## [19845] "264745_at" "264746_at"
## [19847] "264747_at" "264748_at"
## [19849] "264749_at" "264750_at"
## [19851] "264751_at" "264752_at"
## [19853] "264753_at" "264754_at"
## [19855] "264755_at" "264756_at"
## [19857] "264757_at" "264758_at"
## [19859] "264759_at" "264760_at"
## [19861] "264761_at" "264762_at"
## [19863] "264763_at" "264764_at"
## [19865] "264765_at" "264766_at"
## [19867] "264767_at" "264768_at"
## [19869] "264769_at" "264770_at"
## [19871] "264771_at" "264772_at"
## [19873] "264773_at" "264774_at"
## [19875] "264775_at" "264776_at"
## [19877] "264777_at" "264778_at"
## [19879] "264779_at" "264780_at"
## [19881] "264781_at" "264782_at"
## [19883] "264783_at" "264784_s_at"
## [19885] "264785_at" "264786_at"
## [19887] "264787_at" "264788_at"
## [19889] "264789_at" "264790_at"
## [19891] "264791_at" "264792_at"
## [19893] "264793_at" "264794_at"
## [19895] "264795_at" "264796_at"
## [19897] "264797_at" "264798_at"
## [19899] "264799_at" "264800_at"
## [19901] "264801_at" "264802_at"
## [19903] "264803_at" "264804_at"
## [19905] "264805_at" "264806_at"
## [19907] "264807_at" "264808_at"
## [19909] "264809_at" "264810_at"
## [19911] "264811_at" "264812_at"
## [19913] "264813_at" "264814_at"
## [19915] "264815_at" "264816_at"
## [19917] "264817_at" "264818_at"
## [19919] "264819_at" "264820_at"
## [19921] "264821_at" "264822_at"
## [19923] "264823_at" "264824_at"
## [19925] "264825_at" "264826_at"
## [19927] "264827_at" "264828_at"
## [19929] "264829_at" "264830_at"
## [19931] "264831_at" "264832_at"
## [19933] "264833_at" "264834_at"
## [19935] "264835_at" "264836_at"
## [19937] "264837_at" "264838_at"
## [19939] "264839_at" "264840_at"
## [19941] "264841_at" "264842_at"
## [19943] "264843_at" "264844_at"
## [19945] "264845_at" "264846_at"
## [19947] "264847_at" "264848_at"
## [19949] "264849_at" "264850_at"
## [19951] "264851_at" "264852_at"
## [19953] "264853_at" "264854_at"
## [19955] "264855_at" "264856_at"
## [19957] "264857_at" "264858_at"
## [19959] "264859_at" "264860_at"
## [19961] "264861_at" "264862_at"
## [19963] "264863_at" "264864_at"
## [19965] "264865_at" "264866_at"
## [19967] "264867_at" "264868_at"
## [19969] "264869_at" "264870_at"
## [19971] "264871_at" "264872_at"
## [19973] "264873_at" "264874_at"
## [19975] "264875_at" "264876_at"
## [19977] "264877_at" "264878_at"
## [19979] "264879_at" "264880_at"
## [19981] "264881_s_at" "264882_at"
## [19983] "264883_s_at" "264884_at"
## [19985] "264885_s_at" "264886_at"
## [19987] "264887_at" "264888_at"
## [19989] "264889_at" "264890_at"
## [19991] "264891_at" "264892_at"
## [19993] "264893_at" "264894_at"
## [19995] "264895_at" "264896_at"
## [19997] "264897_at" "264898_at"
## [19999] "264899_at" "264900_at"
## [20001] "264901_at" "264902_at"
## [20003] "264903_at" "264904_s_at"
## [20005] "264905_at" "264906_at"
## [20007] "264907_at" "264908_at"
## [20009] "264909_at" "264910_at"
## [20011] "264911_at" "264912_at"
## [20013] "264913_at" "264914_at"
## [20015] "264915_at" "264916_at"
## [20017] "264917_at" "264918_at"
## [20019] "264919_at" "264920_at"
## [20021] "264921_at" "264922_s_at"
## [20023] "264923_s_at" "264924_at"
## [20025] "264925_at" "264926_at"
## [20027] "264927_at" "264928_at"
## [20029] "264929_at" "264930_at"
## [20031] "264931_at" "264932_at"
## [20033] "264933_at" "264934_at"
## [20035] "264935_at" "264936_at"
## [20037] "264937_at" "264938_at"
## [20039] "264939_at" "264940_at"
## [20041] "264941_at" "264942_at"
## [20043] "264943_at" "264944_at"
## [20045] "264945_at" "264946_at"
## [20047] "264947_at" "264948_at"
## [20049] "264949_at" "264950_at"
## [20051] "264951_at" "264952_at"
## [20053] "264953_at" "264954_at"
## [20055] "264955_at" "264956_at"
## [20057] "264957_at" "264958_at"
## [20059] "264959_at" "264960_at"
## [20061] "264961_at" "264962_at"
## [20063] "264963_at" "264964_at"
## [20065] "264965_at" "264966_at"
## [20067] "264967_at" "264968_at"
## [20069] "264969_at" "264970_at"
## [20071] "264971_at" "264972_at"
## [20073] "264973_at" "264974_at"
## [20075] "264975_at" "264976_at"
## [20077] "264977_at" "264978_at"
## [20079] "264979_s_at" "264980_at"
## [20081] "264981_at" "264982_at"
## [20083] "264983_at" "264984_at"
## [20085] "264985_at" "264986_at"
## [20087] "264987_at" "264988_at"
## [20089] "264989_at" "264990_at"
## [20091] "264991_s_at" "264992_at"
## [20093] "264993_at" "264994_at"
## [20095] "264995_at" "264996_at"
## [20097] "264997_at" "264998_at"
## [20099] "264999_at" "265000_at"
## [20101] "265001_at" "265002_at"
## [20103] "265003_at" "265004_at"
## [20105] "265005_at" "265006_at"
## [20107] "265007_s_at" "265008_at"
## [20109] "265009_at" "265010_at"
## [20111] "265011_at" "265012_at"
## [20113] "265013_at" "265014_at"
## [20115] "265015_at" "265016_at"
## [20117] "265017_at" "265018_s_at"
## [20119] "265019_at" "265020_at"
## [20121] "265021_at" "265022_at"
## [20123] "265023_at" "265024_at"
## [20125] "265025_at" "265026_at"
## [20127] "265027_at" "265028_at"
## [20129] "265029_at" "265030_at"
## [20131] "265031_at" "265032_at"
## [20133] "265033_at" "265034_at"
## [20135] "265035_at" "265036_at"
## [20137] "265037_at" "265038_at"
## [20139] "265039_at" "265040_at"
## [20141] "265041_at" "265042_at"
## [20143] "265043_at" "265044_at"
## [20145] "265045_s_at" "265046_s_at"
## [20147] "265047_at" "265048_at"
## [20149] "265049_at" "265050_at"
## [20151] "265051_at" "265052_at"
## [20153] "265053_at" "265054_x_at"
## [20155] "265055_at" "265056_at"
## [20157] "265057_at" "265058_s_at"
## [20159] "265059_at" "265060_at"
## [20161] "265061_at" "265062_at"
## [20163] "265063_at" "265064_at"
## [20165] "265065_at" "265066_at"
## [20167] "265067_at" "265068_at"
## [20169] "265069_at" "265070_at"
## [20171] "265071_at" "265072_at"
## [20173] "265073_at" "265074_at"
## [20175] "265075_at" "265076_at"
## [20177] "265077_at" "265078_at"
## [20179] "265079_at" "265080_at"
## [20181] "265081_at" "265082_at"
## [20183] "265083_at" "265084_at"
## [20185] "265085_at" "265086_at"
## [20187] "265087_at" "265088_at"
## [20189] "265089_at" "265090_at"
## [20191] "265091_s_at" "265092_at"
## [20193] "265093_at" "265094_at"
## [20195] "265095_at" "265096_at"
## [20197] "265097_at" "265098_at"
## [20199] "265099_at" "265100_at"
## [20201] "265101_at" "265102_at"
## [20203] "265103_at" "265104_at"
## [20205] "265105_s_at" "265106_s_at"
## [20207] "265107_s_at" "265108_s_at"
## [20209] "265109_s_at" "265110_at"
## [20211] "265111_at" "265112_at"
## [20213] "265113_at" "265114_at"
## [20215] "265115_at" "265116_at"
## [20217] "265117_at" "265118_at"
## [20219] "265119_at" "265120_at"
## [20221] "265121_at" "265122_at"
## [20223] "265123_at" "265124_at"
## [20225] "265125_at" "265126_s_at"
## [20227] "265127_at" "265128_at"
## [20229] "265129_at" "265130_at"
## [20231] "265131_at" "265132_at"
## [20233] "265133_s_at" "265134_at"
## [20235] "265135_at" "265136_at"
## [20237] "265137_at" "265138_at"
## [20239] "265139_at" "265140_at"
## [20241] "265141_at" "265142_at"
## [20243] "265143_at" "265144_at"
## [20245] "265145_at" "265146_at"
## [20247] "265147_at" "265148_at"
## [20249] "265149_at" "265150_at"
## [20251] "265151_at" "265152_s_at"
## [20253] "265153_at" "265154_at"
## [20255] "265155_at" "265156_at"
## [20257] "265157_at" "265158_at"
## [20259] "265159_at" "265160_at"
## [20261] "265161_at" "265162_at"
## [20263] "265163_at" "265164_at"
## [20265] "265165_at" "265166_at"
## [20267] "265167_at" "265168_at"
## [20269] "265169_x_at" "265170_at"
## [20271] "265171_at" "265172_at"
## [20273] "265173_at" "265174_s_at"
## [20275] "265175_at" "265176_at"
## [20277] "265177_at" "265178_at"
## [20279] "265179_at" "265180_at"
## [20281] "265181_at" "265182_at"
## [20283] "265183_at" "265184_at"
## [20285] "265185_at" "265186_at"
## [20287] "265187_at" "265188_at"
## [20289] "265189_at" "265190_at"
## [20291] "265191_at" "265192_at"
## [20293] "265193_at" "265194_at"
## [20295] "265195_at" "265196_at"
## [20297] "265197_at" "265198_at"
## [20299] "265199_s_at" "265200_s_at"
## [20301] "265201_at" "265202_at"
## [20303] "265203_at" "265204_at"
## [20305] "265205_at" "265206_at"
## [20307] "265207_at" "265208_at"
## [20309] "265209_at" "265210_at"
## [20311] "265211_at" "265212_at"
## [20313] "265213_at" "265214_at"
## [20315] "265215_at" "265216_at"
## [20317] "265217_s_at" "265218_at"
## [20319] "265219_at" "265220_at"
## [20321] "265221_s_at" "265222_at"
## [20323] "265223_at" "265224_at"
## [20325] "265225_at" "265226_at"
## [20327] "265227_s_at" "265228_s_at"
## [20329] "265229_s_at" "265230_s_at"
## [20331] "265231_s_at" "265232_s_at"
## [20333] "265233_s_at" "265234_at"
## [20335] "265235_s_at" "265236_s_at"
## [20337] "265237_s_at" "265238_s_at"
## [20339] "265239_s_at" "265240_s_at"
## [20341] "265241_at" "265242_at"
## [20343] "265243_at" "265244_at"
## [20345] "265245_at" "265246_at"
## [20347] "265247_at" "265248_at"
## [20349] "265249_at" "265250_at"
## [20351] "265251_at" "265252_at"
## [20353] "265253_at" "265254_at"
## [20355] "265255_at" "265256_at"
## [20357] "265257_at" "265258_at"
## [20359] "265259_at" "265260_at"
## [20361] "265261_at" "265262_at"
## [20363] "265263_at" "265264_at"
## [20365] "265265_at" "265266_at"
## [20367] "265267_at" "265268_at"
## [20369] "265269_at" "265270_at"
## [20371] "265271_at" "265272_at"
## [20373] "265273_at" "265274_at"
## [20375] "265275_at" "265276_at"
## [20377] "265277_at" "265278_at"
## [20379] "265279_at" "265280_at"
## [20381] "265281_at" "265282_at"
## [20383] "265283_at" "265284_at"
## [20385] "265285_at" "265286_at"
## [20387] "265287_at" "265288_at"
## [20389] "265289_at" "265290_at"
## [20391] "265291_at" "265292_s_at"
## [20393] "265293_at" "265294_at"
## [20395] "265295_at" "265296_at"
## [20397] "265297_at" "265298_s_at"
## [20399] "265299_at" "265300_at"
## [20401] "265301_s_at" "265302_at"
## [20403] "265303_at" "265304_at"
## [20405] "265305_at" "265306_at"
## [20407] "265307_at" "265308_at"
## [20409] "265309_at" "265310_at"
## [20411] "265311_at" "265312_at"
## [20413] "265313_at" "265314_at"
## [20415] "265315_at" "265316_at"
## [20417] "265317_at" "265318_at"
## [20419] "265319_at" "265320_at"
## [20421] "265321_at" "265322_at"
## [20423] "265323_at" "265324_at"
## [20425] "265325_at" "265326_at"
## [20427] "265327_at" "265328_at"
## [20429] "265329_at" "265330_at"
## [20431] "265331_at" "265332_at"
## [20433] "265333_at" "265334_at"
## [20435] "265335_at" "265336_at"
## [20437] "265337_at" "265338_at"
## [20439] "265339_at" "265340_at"
## [20441] "265341_at" "265342_at"
## [20443] "265343_at" "265344_at"
## [20445] "265345_at" "265346_at"
## [20447] "265347_at" "265348_at"
## [20449] "265349_at" "265350_at"
## [20451] "265351_at" "265352_at"
## [20453] "265353_at" "265354_at"
## [20455] "265355_at" "265356_at"
## [20457] "265357_at" "265358_at"
## [20459] "265359_at" "265360_s_at"
## [20461] "265361_at" "265362_at"
## [20463] "265363_at" "265364_at"
## [20465] "265365_at" "265366_at"
## [20467] "265367_at" "265368_at"
## [20469] "265369_s_at" "265370_s_at"
## [20471] "265371_at" "265372_at"
## [20473] "265373_at" "265374_at"
## [20475] "265375_at" "265376_at"
## [20477] "265377_at" "265378_at"
## [20479] "265379_at" "265380_at"
## [20481] "265381_at" "265382_at"
## [20483] "265383_at" "265384_at"
## [20485] "265385_at" "265386_at"
## [20487] "265387_at" "265388_s_at"
## [20489] "265389_at" "265390_at"
## [20491] "265391_at" "265392_at"
## [20493] "265393_at" "265394_at"
## [20495] "265395_at" "265396_at"
## [20497] "265397_at" "265398_at"
## [20499] "265399_at" "265400_at"
## [20501] "265401_at" "265402_at"
## [20503] "265403_at" "265404_at"
## [20505] "265405_at" "265406_at"
## [20507] "265407_at" "265408_at"
## [20509] "265409_at" "265410_at"
## [20511] "265411_at" "265412_at"
## [20513] "265413_s_at" "265414_at"
## [20515] "265415_at" "265416_at"
## [20517] "265417_at" "265418_at"
## [20519] "265419_at" "265420_s_at"
## [20521] "265421_s_at" "265422_at"
## [20523] "265423_at" "265424_at"
## [20525] "265425_at" "265426_at"
## [20527] "265427_at" "265428_at"
## [20529] "265429_at" "265430_at"
## [20531] "265431_at" "265432_at"
## [20533] "265433_at" "265434_at"
## [20535] "265435_s_at" "265436_at"
## [20537] "265437_at" "265438_at"
## [20539] "265439_at" "265440_at"
## [20541] "265441_at" "265442_at"
## [20543] "265443_at" "265444_s_at"
## [20545] "265445_at" "265446_at"
## [20547] "265447_at" "265448_at"
## [20549] "265449_at" "265450_at"
## [20551] "265451_at" "265452_at"
## [20553] "265453_at" "265454_at"
## [20555] "265455_at" "265456_at"
## [20557] "265457_at" "265458_at"
## [20559] "265459_at" "265460_at"
## [20561] "265461_at" "265462_at"
## [20563] "265463_at" "265464_at"
## [20565] "265465_at" "265466_at"
## [20567] "265467_at" "265468_at"
## [20569] "265469_at" "265470_at"
## [20571] "265471_at" "265472_at"
## [20573] "265473_at" "265474_at"
## [20575] "265475_at" "265476_at"
## [20577] "265477_at" "265478_at"
## [20579] "265479_at" "265480_at"
## [20581] "265481_at" "265482_at"
## [20583] "265483_at" "265484_at"
## [20585] "265485_at" "265486_at"
## [20587] "265487_at" "265488_at"
## [20589] "265489_at" "265490_s_at"
## [20591] "265491_s_at" "265492_at"
## [20593] "265493_at" "265494_at"
## [20595] "265495_at" "265496_at"
## [20597] "265497_at" "265498_at"
## [20599] "265499_at" "265500_at"
## [20601] "265501_at" "265502_at"
## [20603] "265503_at" "265504_at"
## [20605] "265505_at" "265506_at"
## [20607] "265507_s_at" "265508_at"
## [20609] "265509_at" "265510_at"
## [20611] "265511_at" "265512_at"
## [20613] "265513_at" "265514_s_at"
## [20615] "265515_at" "265516_at"
## [20617] "265517_at" "265518_at"
## [20619] "265519_at" "265520_at"
## [20621] "265521_at" "265522_at"
## [20623] "265523_at" "265524_at"
## [20625] "265525_at" "265526_x_at"
## [20627] "265527_at" "265528_at"
## [20629] "265529_at" "265530_at"
## [20631] "265531_at" "265532_at"
## [20633] "265533_at" "265534_at"
## [20635] "265535_at" "265536_at"
## [20637] "265537_at" "265538_at"
## [20639] "265539_at" "265540_at"
## [20641] "265541_at" "265542_at"
## [20643] "265543_at" "265544_at"
## [20645] "265545_at" "265546_at"
## [20647] "265547_at" "265548_s_at"
## [20649] "265549_at" "265550_at"
## [20651] "265551_at" "265552_at"
## [20653] "265553_at" "265554_at"
## [20655] "265555_at" "265556_at"
## [20657] "265557_at" "265558_at"
## [20659] "265559_at" "265560_at"
## [20661] "265561_s_at" "265562_at"
## [20663] "265563_s_at" "265564_s_at"
## [20665] "265565_at" "265566_at"
## [20667] "265567_at" "265568_s_at"
## [20669] "265569_at" "265570_at"
## [20671] "265571_s_at" "265572_at"
## [20673] "265573_at" "265574_at"
## [20675] "265575_at" "265576_at"
## [20677] "265577_at" "265578_at"
## [20679] "265579_at" "265580_at"
## [20681] "265581_at" "265582_at"
## [20683] "265583_at" "265584_at"
## [20685] "265585_at" "265586_at"
## [20687] "265587_at" "265588_at"
## [20689] "265589_at" "265590_at"
## [20691] "265591_at" "265592_at"
## [20693] "265593_s_at" "265594_at"
## [20695] "265595_at" "265596_at"
## [20697] "265597_at" "265598_at"
## [20699] "265599_at" "265600_at"
## [20701] "265601_at" "265602_at"
## [20703] "265603_at" "265604_s_at"
## [20705] "265605_at" "265606_s_at"
## [20707] "265607_at" "265608_at"
## [20709] "265609_at" "265610_at"
## [20711] "265611_at" "265612_at"
## [20713] "265613_at" "265614_at"
## [20715] "265615_at" "265616_at"
## [20717] "265617_at" "265618_at"
## [20719] "265619_at" "265620_at"
## [20721] "265621_at" "265622_at"
## [20723] "265623_at" "265624_at"
## [20725] "265625_at" "265626_at"
## [20727] "265627_at" "265628_at"
## [20729] "265629_at" "265630_at"
## [20731] "265631_at" "265632_at"
## [20733] "265633_at" "265634_at"
## [20735] "265635_at" "265636_at"
## [20737] "265637_at" "265638_at"
## [20739] "265639_at" "265640_at"
## [20741] "265641_at" "265642_at"
## [20743] "265643_at" "265644_at"
## [20745] "265645_at" "265646_at"
## [20747] "265647_at" "265648_at"
## [20749] "265649_at" "265650_at"
## [20751] "265651_at" "265652_x_at"
## [20753] "265653_at" "265654_s_at"
## [20755] "265655_at" "265656_at"
## [20757] "265657_at" "265658_at"
## [20759] "265659_at" "265660_at"
## [20761] "265661_at" "265662_at"
## [20763] "265663_at" "265664_at"
## [20765] "265665_at" "265666_at"
## [20767] "265667_at" "265668_at"
## [20769] "265669_at" "265670_s_at"
## [20771] "265671_at" "265672_at"
## [20773] "265673_at" "265674_at"
## [20775] "265675_at" "265676_at"
## [20777] "265677_at" "265678_at"
## [20779] "265679_at" "265680_at"
## [20781] "265681_at" "265682_at"
## [20783] "265683_at" "265684_at"
## [20785] "265685_at" "265686_at"
## [20787] "265687_s_at" "265688_at"
## [20789] "265689_at" "265690_at"
## [20791] "265691_at" "265692_at"
## [20793] "265693_at" "265694_at"
## [20795] "265695_at" "265696_at"
## [20797] "265697_at" "265698_at"
## [20799] "265699_at" "265700_at"
## [20801] "265701_at" "265702_at"
## [20803] "265703_at" "265704_at"
## [20805] "265705_at" "265706_at"
## [20807] "265707_at" "265708_at"
## [20809] "265709_at" "265710_at"
## [20811] "265711_at" "265712_s_at"
## [20813] "265713_at" "265714_at"
## [20815] "265715_s_at" "265716_at"
## [20817] "265717_at" "265718_at"
## [20819] "265719_at" "265720_at"
## [20821] "265721_at" "265722_at"
## [20823] "265723_at" "265724_at"
## [20825] "265725_at" "265726_at"
## [20827] "265727_at" "265728_at"
## [20829] "265729_at" "265730_at"
## [20831] "265731_at" "265732_at"
## [20833] "265733_at" "265734_at"
## [20835] "265735_at" "265736_at"
## [20837] "265737_at" "265738_at"
## [20839] "265739_at" "265740_at"
## [20841] "265741_at" "265742_at"
## [20843] "265743_s_at" "265744_at"
## [20845] "265745_at" "265746_at"
## [20847] "265747_s_at" "265748_at"
## [20849] "265749_at" "265750_x_at"
## [20851] "265751_at" "265752_at"
## [20853] "265753_at" "265754_x_at"
## [20855] "265755_at" "265756_at"
## [20857] "265757_x_at" "265758_at"
## [20859] "265759_at" "265760_at"
## [20861] "265761_at" "265762_at"
## [20863] "265763_at" "265764_at"
## [20865] "265765_at" "265766_at"
## [20867] "265767_at" "265768_at"
## [20869] "265769_at" "265770_at"
## [20871] "265771_at" "265772_at"
## [20873] "265773_at" "265774_at"
## [20875] "265775_at" "265776_at"
## [20877] "265777_at" "265778_at"
## [20879] "265779_at" "265780_at"
## [20881] "265781_at" "265782_at"
## [20883] "265783_at" "265784_at"
## [20885] "265785_at" "265786_at"
## [20887] "265787_at" "265788_at"
## [20889] "265789_at" "265790_at"
## [20891] "265791_at" "265792_at"
## [20893] "265793_at" "265794_at"
## [20895] "265795_at" "265796_at"
## [20897] "265797_at" "265798_at"
## [20899] "265799_at" "265800_at"
## [20901] "265801_at" "265802_at"
## [20903] "265803_at" "265804_at"
## [20905] "265805_s_at" "265806_at"
## [20907] "265807_at" "265808_at"
## [20909] "265809_at" "265810_at"
## [20911] "265811_at" "265812_at"
## [20913] "265813_at" "265814_at"
## [20915] "265815_at" "265816_s_at"
## [20917] "265817_at" "265818_at"
## [20919] "265819_at" "265820_at"
## [20921] "265821_at" "265822_at"
## [20923] "265823_at" "265824_at"
## [20925] "265825_at" "265826_at"
## [20927] "265827_at" "265828_at"
## [20929] "265829_at" "265830_at"
## [20931] "265831_at" "265832_at"
## [20933] "265833_at" "265834_at"
## [20935] "265835_at" "265836_at"
## [20937] "265837_at" "265838_at"
## [20939] "265839_at" "265840_at"
## [20941] "265841_at" "265842_at"
## [20943] "265843_at" "265844_at"
## [20945] "265845_at" "265846_at"
## [20947] "265847_at" "265848_at"
## [20949] "265849_at" "265850_at"
## [20951] "265851_at" "265852_at"
## [20953] "265853_at" "265854_at"
## [20955] "265855_at" "265856_at"
## [20957] "265857_s_at" "265858_at"
## [20959] "265859_at" "265860_at"
## [20961] "265861_at" "265862_at"
## [20963] "265863_at" "265864_at"
## [20965] "265865_at" "265866_at"
## [20967] "265867_at" "265868_at"
## [20969] "265869_at" "265870_at"
## [20971] "265871_at" "265872_at"
## [20973] "265873_at" "265874_at"
## [20975] "265875_at" "265876_at"
## [20977] "265877_at" "265878_at"
## [20979] "265879_at" "265880_at"
## [20981] "265881_at" "265882_at"
## [20983] "265883_at" "265884_at"
## [20985] "265885_at" "265886_at"
## [20987] "265887_at" "265888_at"
## [20989] "265889_at" "265890_s_at"
## [20991] "265891_at" "265892_at"
## [20993] "265893_at" "265894_at"
## [20995] "265895_at" "265896_at"
## [20997] "265897_at" "265898_at"
## [20999] "265899_s_at" "265900_at"
## [21001] "265901_at" "265902_at"
## [21003] "265903_at" "265904_at"
## [21005] "265905_at" "265906_at"
## [21007] "265907_at" "265908_at"
## [21009] "265909_at" "265910_at"
## [21011] "265911_at" "265912_at"
## [21013] "265913_at" "265914_at"
## [21015] "265915_at" "265916_at"
## [21017] "265917_at" "265918_at"
## [21019] "265919_at" "265920_s_at"
## [21021] "265921_at" "265922_at"
## [21023] "265923_at" "265924_at"
## [21025] "265925_at" "265926_at"
## [21027] "265927_at" "265928_at"
## [21029] "265929_s_at" "265930_at"
## [21031] "265931_at" "265932_at"
## [21033] "265933_at" "265934_at"
## [21035] "265935_at" "265936_at"
## [21037] "265937_at" "265938_at"
## [21039] "265939_at" "265940_at"
## [21041] "265941_s_at" "265942_at"
## [21043] "265943_at" "265944_at"
## [21045] "265945_at" "265946_s_at"
## [21047] "265947_at" "265948_at"
## [21049] "265949_at" "265950_s_at"
## [21051] "265951_at" "265952_at"
## [21053] "265953_at" "265954_at"
## [21055] "265955_at" "265956_at"
## [21057] "265957_at" "265958_at"
## [21059] "265959_at" "265960_at"
## [21061] "265961_at" "265962_at"
## [21063] "265963_s_at" "265964_at"
## [21065] "265965_at" "265966_at"
## [21067] "265967_at" "265968_at"
## [21069] "265969_at" "265970_at"
## [21071] "265971_at" "265972_at"
## [21073] "265973_at" "265974_at"
## [21075] "265975_at" "265976_at"
## [21077] "265977_at" "265978_at"
## [21079] "265979_at" "265980_at"
## [21081] "265981_s_at" "265982_at"
## [21083] "265983_at" "265984_at"
## [21085] "265985_at" "265986_at"
## [21087] "265987_at" "265988_at"
## [21089] "265989_at" "265990_at"
## [21091] "265991_at" "265992_at"
## [21093] "265993_at" "265994_at"
## [21095] "265995_at" "265996_at"
## [21097] "265997_at" "265998_at"
## [21099] "265999_at" "266000_at"
## [21101] "266001_at" "266002_at"
## [21103] "266003_at" "266004_at"
## [21105] "266005_at" "266006_at"
## [21107] "266007_at" "266008_at"
## [21109] "266009_at" "266010_at"
## [21111] "266011_at" "266012_s_at"
## [21113] "266013_s_at" "266014_s_at"
## [21115] "266015_at" "266016_at"
## [21117] "266017_at" "266018_at"
## [21119] "266019_at" "266020_at"
## [21121] "266021_at" "266022_at"
## [21123] "266023_at" "266024_at"
## [21125] "266025_at" "266026_at"
## [21127] "266027_at" "266028_at"
## [21129] "266029_at" "266030_x_at"
## [21131] "266031_at" "266032_x_at"
## [21133] "266033_at" "266034_at"
## [21135] "266035_at" "266036_s_at"
## [21137] "266037_at" "266038_at"
## [21139] "266039_s_at" "266040_at"
## [21141] "266041_s_at" "266042_s_at"
## [21143] "266043_at" "266044_s_at"
## [21145] "266045_s_at" "266046_at"
## [21147] "266047_at" "266048_at"
## [21149] "266049_at" "266050_at"
## [21151] "266051_at" "266052_at"
## [21153] "266053_at" "266054_at"
## [21155] "266055_at" "266056_at"
## [21157] "266057_at" "266058_at"
## [21159] "266059_at" "266060_at"
## [21161] "266061_at" "266062_at"
## [21163] "266063_at" "266064_at"
## [21165] "266065_at" "266066_at"
## [21167] "266067_s_at" "266068_at"
## [21169] "266069_at" "266070_at"
## [21171] "266071_at" "266072_at"
## [21173] "266073_at" "266074_at"
## [21175] "266075_s_at" "266076_at"
## [21177] "266077_at" "266078_at"
## [21179] "266079_at" "266080_at"
## [21181] "266081_at" "266082_at"
## [21183] "266083_at" "266084_at"
## [21185] "266085_at" "266086_at"
## [21187] "266087_at" "266088_at"
## [21189] "266089_at" "266090_at"
## [21191] "266091_at" "266092_at"
## [21193] "266093_at" "266094_at"
## [21195] "266095_at" "266096_at"
## [21197] "266097_at" "266098_at"
## [21199] "266099_at" "266100_at"
## [21201] "266101_at" "266102_at"
## [21203] "266103_at" "266104_at"
## [21205] "266105_at" "266106_at"
## [21207] "266107_at" "266108_at"
## [21209] "266109_at" "266110_at"
## [21211] "266111_at" "266112_x_at"
## [21213] "266113_x_at" "266114_at"
## [21215] "266115_at" "266116_at"
## [21217] "266117_at" "266118_at"
## [21219] "266119_at" "266120_at"
## [21221] "266121_at" "266122_at"
## [21223] "266123_at" "266124_at"
## [21225] "266125_at" "266126_at"
## [21227] "266127_s_at" "266128_at"
## [21229] "266129_at" "266130_at"
## [21231] "266131_at" "266132_at"
## [21233] "266133_at" "266134_s_at"
## [21235] "266135_at" "266136_at"
## [21237] "266137_at" "266138_at"
## [21239] "266139_at" "266140_at"
## [21241] "266141_at" "266142_at"
## [21243] "266143_at" "266144_at"
## [21245] "266145_at" "266146_at"
## [21247] "266147_at" "266148_x_at"
## [21249] "266149_x_at" "266150_s_at"
## [21251] "266151_x_at" "266152_s_at"
## [21253] "266153_at" "266154_at"
## [21255] "266155_at" "266156_at"
## [21257] "266157_at" "266158_at"
## [21259] "266159_at" "266160_at"
## [21261] "266161_at" "266162_at"
## [21263] "266163_at" "266164_at"
## [21265] "266165_at" "266166_at"
## [21267] "266167_at" "266168_at"
## [21269] "266169_at" "266170_at"
## [21271] "266171_at" "266172_at"
## [21273] "266173_at" "266174_at"
## [21275] "266175_at" "266176_at"
## [21277] "266177_at" "266178_at"
## [21279] "266179_at" "266180_at"
## [21281] "266181_at" "266182_at"
## [21283] "266183_at" "266184_s_at"
## [21285] "266185_at" "266186_at"
## [21287] "266187_at" "266188_at"
## [21289] "266189_at" "266190_at"
## [21291] "266191_at" "266192_at"
## [21293] "266193_at" "266194_at"
## [21295] "266195_at" "266196_at"
## [21297] "266197_at" "266198_at"
## [21299] "266199_at" "266200_at"
## [21301] "266201_at" "266202_at"
## [21303] "266203_at" "266204_at"
## [21305] "266205_s_at" "266206_at"
## [21307] "266207_at" "266208_at"
## [21309] "266209_at" "266210_at"
## [21311] "266211_at" "266212_at"
## [21313] "266213_s_at" "266214_at"
## [21315] "266215_at" "266216_at"
## [21317] "266217_at" "266218_s_at"
## [21319] "266219_at" "266220_at"
## [21321] "266221_at" "266222_at"
## [21323] "266223_at" "266224_at"
## [21325] "266225_at" "266226_at"
## [21327] "266227_at" "266228_at"
## [21329] "266229_at" "266230_at"
## [21331] "266231_at" "266232_at"
## [21333] "266233_at" "266234_at"
## [21335] "266235_at" "266236_at"
## [21337] "266237_at" "266238_at"
## [21339] "266239_at" "266240_at"
## [21341] "266241_s_at" "266242_at"
## [21343] "266243_at" "266244_at"
## [21345] "266245_at" "266246_at"
## [21347] "266247_at" "266248_at"
## [21349] "266249_at" "266250_at"
## [21351] "266251_s_at" "266252_at"
## [21353] "266253_at" "266254_at"
## [21355] "266255_at" "266256_at"
## [21357] "266257_at" "266258_at"
## [21359] "266259_at" "266260_at"
## [21361] "266261_at" "266262_at"
## [21363] "266263_at" "266264_at"
## [21365] "266265_at" "266266_at"
## [21367] "266267_at" "266268_at"
## [21369] "266269_at" "266270_at"
## [21371] "266271_at" "266272_at"
## [21373] "266273_at" "266274_at"
## [21375] "266275_at" "266276_at"
## [21377] "266277_at" "266278_at"
## [21379] "266279_at" "266280_at"
## [21381] "266281_at" "266282_at"
## [21383] "266283_at" "266284_at"
## [21385] "266285_at" "266286_at"
## [21387] "266287_at" "266288_s_at"
## [21389] "266289_at" "266290_at"
## [21391] "266291_at" "266292_at"
## [21393] "266293_at" "266294_at"
## [21395] "266295_at" "266296_at"
## [21397] "266297_at" "266298_at"
## [21399] "266299_at" "266300_at"
## [21401] "266301_at" "266302_at"
## [21403] "266303_at" "266304_at"
## [21405] "266305_at" "266306_at"
## [21407] "266307_at" "266308_at"
## [21409] "266309_at" "266310_at"
## [21411] "266311_at" "266312_at"
## [21413] "266313_at" "266314_at"
## [21415] "266315_at" "266316_at"
## [21417] "266317_at" "266318_at"
## [21419] "266319_s_at" "266320_at"
## [21421] "266321_at" "266322_at"
## [21423] "266323_at" "266324_at"
## [21425] "266325_at" "266326_at"
## [21427] "266327_at" "266328_at"
## [21429] "266329_at" "266330_at"
## [21431] "266331_at" "266332_at"
## [21433] "266333_at" "266334_at"
## [21435] "266335_at" "266336_at"
## [21437] "266337_at" "266338_at"
## [21439] "266339_s_at" "266340_at"
## [21441] "266341_at" "266342_at"
## [21443] "266343_at" "266344_at"
## [21445] "266345_at" "266346_at"
## [21447] "266347_at" "266348_at"
## [21449] "266349_at" "266350_at"
## [21451] "266351_at" "266352_at"
## [21453] "266353_at" "266354_at"
## [21455] "266355_at" "266356_at"
## [21457] "266357_at" "266358_at"
## [21459] "266359_at" "266360_at"
## [21461] "266361_at" "266362_at"
## [21463] "266363_at" "266364_at"
## [21465] "266365_at" "266366_at"
## [21467] "266367_s_at" "266368_at"
## [21469] "266369_at" "266370_at"
## [21471] "266371_at" "266372_at"
## [21473] "266373_x_at" "266374_at"
## [21475] "266375_at" "266376_at"
## [21477] "266377_at" "266378_at"
## [21479] "266379_at" "266380_at"
## [21481] "266381_at" "266382_at"
## [21483] "266383_at" "266384_at"
## [21485] "266385_at" "266386_at"
## [21487] "266387_at" "266388_at"
## [21489] "266389_s_at" "266390_at"
## [21491] "266391_at" "266392_at"
## [21493] "266393_at" "266394_at"
## [21495] "266395_at" "266396_at"
## [21497] "266397_at" "266398_at"
## [21499] "266399_at" "266400_at"
## [21501] "266401_s_at" "266402_at"
## [21503] "266403_at" "266404_at"
## [21505] "266405_at" "266406_at"
## [21507] "266407_at" "266408_at"
## [21509] "266409_at" "266410_at"
## [21511] "266411_at" "266412_at"
## [21513] "266413_at" "266414_at"
## [21515] "266415_at" "266416_at"
## [21517] "266417_at" "266418_at"
## [21519] "266419_at" "266420_at"
## [21521] "266421_at" "266422_at"
## [21523] "266423_at" "266424_at"
## [21525] "266425_at" "266426_x_at"
## [21527] "266427_at" "266428_at"
## [21529] "266429_at" "266430_at"
## [21531] "266431_at" "266432_s_at"
## [21533] "266433_at" "266434_s_at"
## [21535] "266435_s_at" "266436_at"
## [21537] "266437_at" "266438_at"
## [21539] "266439_s_at" "266440_at"
## [21541] "266441_at" "266442_at"
## [21543] "266443_at" "266444_at"
## [21545] "266445_at" "266446_at"
## [21547] "266447_at" "266448_s_at"
## [21549] "266449_at" "266450_s_at"
## [21551] "266451_at" "266452_at"
## [21553] "266453_at" "266454_at"
## [21555] "266455_at" "266456_at"
## [21557] "266457_at" "266458_at"
## [21559] "266459_at" "266460_at"
## [21561] "266461_at" "266462_at"
## [21563] "266463_at" "266464_at"
## [21565] "266465_at" "266466_at"
## [21567] "266467_at" "266468_at"
## [21569] "266469_at" "266470_at"
## [21571] "266471_at" "266472_at"
## [21573] "266473_at" "266474_at"
## [21575] "266475_at" "266476_at"
## [21577] "266477_at" "266478_at"
## [21579] "266479_at" "266480_at"
## [21581] "266481_at" "266482_at"
## [21583] "266483_at" "266484_at"
## [21585] "266485_at" "266486_at"
## [21587] "266487_at" "266488_at"
## [21589] "266489_at" "266490_at"
## [21591] "266491_at" "266492_at"
## [21593] "266493_at" "266494_at"
## [21595] "266495_at" "266496_at"
## [21597] "266497_at" "266498_at"
## [21599] "266499_at" "266500_at"
## [21601] "266501_at" "266502_at"
## [21603] "266503_at" "266504_at"
## [21605] "266505_at" "266506_at"
## [21607] "266507_at" "266508_at"
## [21609] "266509_at" "266510_at"
## [21611] "266511_at" "266512_at"
## [21613] "266513_at" "266514_at"
## [21615] "266515_at" "266516_at"
## [21617] "266517_at" "266518_at"
## [21619] "266519_at" "266520_at"
## [21621] "266521_at" "266522_at"
## [21623] "266523_at" "266524_at"
## [21625] "266525_at" "266526_at"
## [21627] "266527_at" "266528_at"
## [21629] "266529_at" "266530_at"
## [21631] "266531_at" "266532_at"
## [21633] "266533_s_at" "266534_at"
## [21635] "266535_s_at" "266536_at"
## [21637] "266537_at" "266538_at"
## [21639] "266539_at" "266540_at"
## [21641] "266541_at" "266542_at"
## [21643] "266543_at" "266544_at"
## [21645] "266545_at" "266546_at"
## [21647] "266547_at" "266548_at"
## [21649] "266549_at" "266550_s_at"
## [21651] "266551_at" "266552_at"
## [21653] "266553_at" "266554_s_at"
## [21655] "266555_at" "266556_at"
## [21657] "266557_at" "266558_at"
## [21659] "266559_at" "266560_at"
## [21661] "266561_at" "266562_at"
## [21663] "266563_at" "266564_at"
## [21665] "266565_at" "266566_at"
## [21667] "266567_at" "266568_at"
## [21669] "266569_at" "266570_at"
## [21671] "266571_at" "266572_at"
## [21673] "266573_at" "266574_at"
## [21675] "266575_at" "266576_at"
## [21677] "266577_at" "266578_at"
## [21679] "266579_at" "266580_at"
## [21681] "266581_at" "266582_at"
## [21683] "266583_at" "266584_s_at"
## [21685] "266585_at" "266586_s_at"
## [21687] "266587_at" "266588_at"
## [21689] "266589_at" "266590_at"
## [21691] "266591_at" "266592_at"
## [21693] "266593_at" "266594_at"
## [21695] "266595_at" "266596_at"
## [21697] "266597_at" "266598_at"
## [21699] "266599_at" "266600_at"
## [21701] "266601_at" "266602_at"
## [21703] "266603_at" "266604_at"
## [21705] "266605_at" "266606_at"
## [21707] "266607_at" "266608_at"
## [21709] "266609_at" "266610_at"
## [21711] "266611_at" "266612_at"
## [21713] "266613_at" "266614_at"
## [21715] "266615_s_at" "266616_at"
## [21717] "266617_at" "266618_at"
## [21719] "266619_at" "266620_at"
## [21721] "266621_at" "266622_at"
## [21723] "266623_at" "266624_s_at"
## [21725] "266625_at" "266626_at"
## [21727] "266627_at" "266628_at"
## [21729] "266629_at" "266630_at"
## [21731] "266631_at" "266632_at"
## [21733] "266633_at" "266634_at"
## [21735] "266635_at" "266636_at"
## [21737] "266637_at" "266638_at"
## [21739] "266639_at" "266640_at"
## [21741] "266641_at" "266642_at"
## [21743] "266643_s_at" "266644_at"
## [21745] "266645_at" "266646_at"
## [21747] "266647_at" "266648_at"
## [21749] "266649_at" "266650_at"
## [21751] "266651_at" "266652_at"
## [21753] "266653_at" "266654_at"
## [21755] "266655_at" "266656_at"
## [21757] "266657_at" "266658_at"
## [21759] "266659_at" "266660_at"
## [21761] "266661_at" "266662_at"
## [21763] "266663_at" "266664_at"
## [21765] "266665_at" "266666_at"
## [21767] "266667_at" "266668_at"
## [21769] "266669_at" "266670_at"
## [21771] "266671_at" "266672_at"
## [21773] "266673_at" "266674_at"
## [21775] "266675_s_at" "266676_s_at"
## [21777] "266677_at" "266678_at"
## [21779] "266679_at" "266680_s_at"
## [21781] "266681_at" "266682_at"
## [21783] "266683_at" "266684_at"
## [21785] "266685_at" "266686_at"
## [21787] "266687_at" "266688_at"
## [21789] "266689_at" "266690_at"
## [21791] "266691_at" "266692_at"
## [21793] "266693_at" "266694_at"
## [21795] "266695_at" "266696_at"
## [21797] "266697_at" "266698_at"
## [21799] "266699_at" "266700_at"
## [21801] "266701_at" "266702_at"
## [21803] "266703_at" "266704_at"
## [21805] "266705_at" "266706_at"
## [21807] "266707_at" "266708_at"
## [21809] "266709_at" "266710_at"
## [21811] "266711_at" "266712_at"
## [21813] "266713_at" "266714_at"
## [21815] "266715_at" "266716_at"
## [21817] "266717_at" "266718_at"
## [21819] "266719_at" "266720_s_at"
## [21821] "266721_at" "266722_at"
## [21823] "266723_at" "266724_at"
## [21825] "266725_at" "266726_at"
## [21827] "266727_at" "266728_at"
## [21829] "266729_at" "266730_at"
## [21831] "266731_at" "266732_at"
## [21833] "266733_at" "266734_at"
## [21835] "266735_at" "266736_at"
## [21837] "266737_at" "266738_at"
## [21839] "266739_at" "266740_at"
## [21841] "266741_s_at" "266742_at"
## [21843] "266743_at" "266744_at"
## [21845] "266745_at" "266746_s_at"
## [21847] "266747_at" "266748_at"
## [21849] "266749_at" "266750_s_at"
## [21851] "266751_at" "266752_at"
## [21853] "266753_at" "266754_at"
## [21855] "266755_at" "266756_at"
## [21857] "266757_at" "266758_at"
## [21859] "266759_at" "266760_at"
## [21861] "266761_at" "266762_at"
## [21863] "266763_at" "266764_at"
## [21865] "266765_at" "266766_at"
## [21867] "266767_at" "266768_s_at"
## [21869] "266769_s_at" "266770_at"
## [21871] "266771_s_at" "266772_s_at"
## [21873] "266773_at" "266774_at"
## [21875] "266775_at" "266776_at"
## [21877] "266777_at" "266778_at"
## [21879] "266779_at" "266780_at"
## [21881] "266781_at" "266782_at"
## [21883] "266783_at" "266784_at"
## [21885] "266785_at" "266786_at"
## [21887] "266787_at" "266788_at"
## [21889] "266789_at" "266790_at"
## [21891] "266791_at" "266792_at"
## [21893] "266793_at" "266794_at"
## [21895] "266795_at" "266796_at"
## [21897] "266797_at" "266798_at"
## [21899] "266799_at" "266800_at"
## [21901] "266801_at" "266802_at"
## [21903] "266803_at" "266804_at"
## [21905] "266805_at" "266806_at"
## [21907] "266807_at" "266808_at"
## [21909] "266809_at" "266810_at"
## [21911] "266811_at" "266812_at"
## [21913] "266813_at" "266814_at"
## [21915] "266815_at" "266816_at"
## [21917] "266817_at" "266818_at"
## [21919] "266819_at" "266820_at"
## [21921] "266821_at" "266822_at"
## [21923] "266823_at" "266824_at"
## [21925] "266825_at" "266826_at"
## [21927] "266827_at" "266828_at"
## [21929] "266829_at" "266830_at"
## [21931] "266831_at" "266832_at"
## [21933] "266833_at" "266834_s_at"
## [21935] "266835_at" "266836_at"
## [21937] "266837_x_at" "266838_at"
## [21939] "266839_at" "266840_at"
## [21941] "266841_at" "266842_at"
## [21943] "266843_at" "266844_at"
## [21945] "266845_at" "266846_at"
## [21947] "266847_at" "266848_at"
## [21949] "266849_at" "266850_at"
## [21951] "266851_at" "266852_at"
## [21953] "266853_at" "266854_at"
## [21955] "266855_at" "266856_at"
## [21957] "266857_at" "266858_at"
## [21959] "266859_at" "266860_at"
## [21961] "266861_at" "266862_at"
## [21963] "266863_at" "266864_at"
## [21965] "266865_at" "266866_at"
## [21967] "266867_at" "266868_at"
## [21969] "266869_at" "266870_at"
## [21971] "266871_at" "266872_at"
## [21973] "266873_at" "266874_at"
## [21975] "266875_at" "266876_at"
## [21977] "266877_at" "266878_at"
## [21979] "266879_at" "266880_at"
## [21981] "266881_at" "266882_at"
## [21983] "266883_at" "266884_at"
## [21985] "266885_at" "266886_at"
## [21987] "266887_at" "266888_s_at"
## [21989] "266889_at" "266890_at"
## [21991] "266891_at" "266892_at"
## [21993] "266893_at" "266894_at"
## [21995] "266895_at" "266896_at"
## [21997] "266897_at" "266898_at"
## [21999] "266899_at" "266900_at"
## [22001] "266901_at" "266902_at"
## [22003] "266903_at" "266904_at"
## [22005] "266905_at" "266906_at"
## [22007] "266907_at" "266908_at"
## [22009] "266909_at" "266910_at"
## [22011] "266911_at" "266912_at"
## [22013] "266913_at" "266914_at"
## [22015] "266915_at" "266916_at"
## [22017] "266917_at" "266918_at"
## [22019] "266919_at" "266920_at"
## [22021] "266921_at" "266922_s_at"
## [22023] "266923_at" "266924_at"
## [22025] "266925_at" "266926_at"
## [22027] "266927_at" "266928_at"
## [22029] "266929_at" "266930_at"
## [22031] "266931_at" "266932_s_at"
## [22033] "266933_at" "266934_at"
## [22035] "266935_at" "266936_at"
## [22037] "266937_at" "266938_at"
## [22039] "266939_at" "266940_at"
## [22041] "266941_at" "266942_at"
## [22043] "266943_at" "266944_at"
## [22045] "266945_at" "266946_at"
## [22047] "266947_at" "266948_at"
## [22049] "266949_s_at" "266950_at"
## [22051] "266951_at" "266952_at"
## [22053] "266953_at" "266954_at"
## [22055] "266955_at" "266956_at"
## [22057] "266957_at" "266958_at"
## [22059] "266959_at" "266960_at"
## [22061] "266961_at" "266962_at"
## [22063] "266963_at" "266964_at"
## [22065] "266965_at" "266966_at"
## [22067] "266967_at" "266968_at"
## [22069] "266969_at" "266970_at"
## [22071] "266971_at" "266972_at"
## [22073] "266973_at" "266974_at"
## [22075] "266975_at" "266976_at"
## [22077] "266977_at" "266978_at"
## [22079] "266979_at" "266980_at"
## [22081] "266981_at" "266982_at"
## [22083] "266983_at" "266984_at"
## [22085] "266985_at" "266986_at"
## [22087] "266987_at" "266988_at"
## [22089] "266989_at" "266990_at"
## [22091] "266991_at" "266992_at"
## [22093] "266993_at" "266994_at"
## [22095] "266995_at" "266996_at"
## [22097] "266997_at" "266998_at"
## [22099] "266999_at" "267000_at"
## [22101] "267001_at" "267002_s_at"
## [22103] "267003_at" "267004_at"
## [22105] "267005_at" "267006_at"
## [22107] "267007_at" "267008_at"
## [22109] "267009_at" "267010_at"
## [22111] "267011_at" "267012_at"
## [22113] "267013_at" "267014_at"
## [22115] "267015_at" "267016_at"
## [22117] "267017_at" "267018_at"
## [22119] "267019_at" "267020_at"
## [22121] "267021_at" "267022_at"
## [22123] "267023_at" "267024_s_at"
## [22125] "267025_at" "267026_at"
## [22127] "267027_at" "267028_at"
## [22129] "267029_at" "267030_at"
## [22131] "267031_at" "267032_at"
## [22133] "267033_at" "267034_at"
## [22135] "267035_at" "267036_at"
## [22137] "267037_at" "267038_at"
## [22139] "267039_at" "267040_at"
## [22141] "267041_at" "267042_at"
## [22143] "267043_at" "267044_at"
## [22145] "267045_at" "267046_at"
## [22147] "267047_at" "267048_at"
## [22149] "267049_at" "267050_at"
## [22151] "267051_at" "267052_at"
## [22153] "267053_s_at" "267054_at"
## [22155] "267055_at" "267056_at"
## [22157] "267057_at" "267058_at"
## [22159] "267059_at" "267060_at"
## [22161] "267061_at" "267062_at"
## [22163] "267063_at" "267064_at"
## [22165] "267065_at" "267066_at"
## [22167] "267067_at" "267068_at"
## [22169] "267069_at" "267070_at"
## [22171] "267071_at" "267072_at"
## [22173] "267073_at" "267074_s_at"
## [22175] "267075_at" "267076_at"
## [22177] "267077_at" "267078_at"
## [22179] "267079_at" "267080_at"
## [22181] "267081_at" "267082_at"
## [22183] "267083_at" "267084_at"
## [22185] "267085_at" "267086_at"
## [22187] "267087_at" "267088_at"
## [22189] "267089_at" "267090_at"
## [22191] "267091_at" "267092_at"
## [22193] "267093_at" "267094_at"
## [22195] "267095_at" "267096_at"
## [22197] "267097_at" "267098_at"
## [22199] "267099_at" "267100_at"
## [22201] "267101_at" "267102_at"
## [22203] "267103_at" "267104_at"
## [22205] "267105_at" "267106_s_at"
## [22207] "267107_at" "267108_at"
## [22209] "267109_at" "267110_at"
## [22211] "267111_s_at" "267112_at"
## [22213] "267113_at" "267114_at"
## [22215] "267115_s_at" "267116_at"
## [22217] "267117_at" "267118_at"
## [22219] "267119_at" "267120_at"
## [22221] "267121_at" "267122_at"
## [22223] "267123_at" "267124_at"
## [22225] "267125_at" "267126_s_at"
## [22227] "267127_at" "267128_at"
## [22229] "267129_at" "267130_at"
## [22231] "267131_at" "267132_at"
## [22233] "267133_at" "267134_at"
## [22235] "267135_at" "267136_at"
## [22237] "267137_at" "267138_s_at"
## [22239] "267139_s_at" "267140_at"
## [22241] "267141_at" "267142_at"
## [22243] "267143_at" "267144_at"
## [22245] "267145_at" "267146_at"
## [22247] "267147_at" "267148_at"
## [22249] "267149_s_at" "267150_at"
## [22251] "267151_at" "267152_at"
## [22253] "267153_at" "267154_at"
## [22255] "267155_at" "267156_at"
## [22257] "267157_at" "267158_at"
## [22259] "267159_at" "267160_at"
## [22261] "267161_at" "267162_s_at"
## [22263] "267163_at" "267164_at"
## [22265] "267165_at" "267166_at"
## [22267] "267167_at" "267168_at"
## [22269] "267169_at" "267170_at"
## [22271] "267171_at" "267172_at"
## [22273] "267173_at" "267174_at"
## [22275] "267175_s_at" "267176_at"
## [22277] "267177_at" "267178_at"
## [22279] "267179_at" "267180_at"
## [22281] "267181_at" "267182_at"
## [22283] "267183_at" "267184_at"
## [22285] "267185_at" "267186_at"
## [22287] "267187_s_at" "267188_at"
## [22289] "267189_at" "267190_at"
## [22291] "267191_at" "267192_at"
## [22293] "267193_at" "267194_s_at"
## [22295] "267195_at" "267196_at"
## [22297] "267197_at" "267198_at"
## [22299] "267199_at" "267200_at"
## [22301] "267201_at" "267202_s_at"
## [22303] "267203_at" "267204_at"
## [22305] "267205_at" "267206_at"
## [22307] "267207_at" "267208_at"
## [22309] "267209_at" "267210_at"
## [22311] "267211_at" "267212_at"
## [22313] "267213_at" "267214_at"
## [22315] "267215_at" "267216_at"
## [22317] "267217_at" "267218_at"
## [22319] "267219_at" "267220_at"
## [22321] "267221_at" "267222_at"
## [22323] "267223_at" "267224_at"
## [22325] "267225_at" "267226_at"
## [22327] "267227_at" "267228_at"
## [22329] "267229_s_at" "267230_at"
## [22331] "267231_at" "267232_at"
## [22333] "267233_s_at" "267234_x_at"
## [22335] "267235_at" "267236_at"
## [22337] "267237_s_at" "267238_at"
## [22339] "267239_at" "267240_at"
## [22341] "267241_at" "267242_at"
## [22343] "267243_at" "267244_at"
## [22345] "267245_at" "267246_at"
## [22347] "267247_at" "267248_at"
## [22349] "267249_at" "267250_at"
## [22351] "267251_at" "267252_at"
## [22353] "267253_at" "267254_at"
## [22355] "267255_at" "267256_s_at"
## [22357] "267257_at" "267258_at"
## [22359] "267259_at" "267260_at"
## [22361] "267261_at" "267262_at"
## [22363] "267263_at" "267264_at"
## [22365] "267265_at" "267266_at"
## [22367] "267267_at" "267268_at"
## [22369] "267269_at" "267270_at"
## [22371] "267271_at" "267272_at"
## [22373] "267273_at" "267274_at"
## [22375] "267275_at" "267276_at"
## [22377] "267277_at" "267278_at"
## [22379] "267279_at" "267280_at"
## [22381] "267281_at" "267282_at"
## [22383] "267283_at" "267284_at"
## [22385] "267285_at" "267286_at"
## [22387] "267287_at" "267288_at"
## [22389] "267289_at" "267290_at"
## [22391] "267291_at" "267292_at"
## [22393] "267293_at" "267294_at"
## [22395] "267295_at" "267296_at"
## [22397] "267297_at" "267298_at"
## [22399] "267299_at" "267300_at"
## [22401] "267301_at" "267302_at"
## [22403] "267303_at" "267304_at"
## [22405] "267305_at" "267306_at"
## [22407] "267307_at" "267308_at"
## [22409] "267309_at" "267310_at"
## [22411] "267311_at" "267312_at"
## [22413] "267313_at" "267314_at"
## [22415] "267315_at" "267316_at"
## [22417] "267317_at" "267318_at"
## [22419] "267319_at" "267320_at"
## [22421] "267321_at" "267322_at"
## [22423] "267323_at" "267324_at"
## [22425] "267325_at" "267326_at"
## [22427] "267327_at" "267328_at"
## [22429] "267329_at" "267330_at"
## [22431] "267331_at" "267332_at"
## [22433] "267333_at" "267334_at"
## [22435] "267335_s_at" "267336_at"
## [22437] "267337_at" "267338_at"
## [22439] "267339_at" "267340_at"
## [22441] "267341_at" "267342_at"
## [22443] "267343_at" "267344_at"
## [22445] "267345_at" "267346_at"
## [22447] "267347_at" "267348_at"
## [22449] "267349_at" "267350_at"
## [22451] "267351_at" "267352_at"
## [22453] "267353_at" "267354_at"
## [22455] "267355_at" "267356_at"
## [22457] "267357_at" "267358_at"
## [22459] "267359_at" "267360_at"
## [22461] "267361_at" "267362_at"
## [22463] "267363_at" "267364_at"
## [22465] "267365_at" "267366_at"
## [22467] "267367_at" "267368_at"
## [22469] "267369_at" "267370_at"
## [22471] "267371_at" "267372_at"
## [22473] "267373_at" "267374_at"
## [22475] "267375_at" "267376_at"
## [22477] "267377_at" "267378_at"
## [22479] "267379_at" "267380_at"
## [22481] "267381_at" "267382_at"
## [22483] "267383_at" "267384_at"
## [22485] "267385_at" "267386_at"
## [22487] "267387_at" "267388_at"
## [22489] "267389_at" "267390_at"
## [22491] "267391_at" "267392_at"
## [22493] "267393_at" "267394_s_at"
## [22495] "267395_at" "267396_at"
## [22497] "267397_at" "267398_at"
## [22499] "267399_at" "267400_at"
## [22501] "267401_at" "267402_at"
## [22503] "267403_at" "267404_at"
## [22505] "267405_at" "267406_at"
## [22507] "267407_at" "267408_at"
## [22509] "267409_at" "267410_at"
## [22511] "267411_at" "267412_at"
## [22513] "267413_at" "267414_at"
## [22515] "267415_at" "267416_at"
## [22517] "267417_at" "267418_at"
## [22519] "267419_at" "267420_at"
## [22521] "267421_at" "267422_at"
## [22523] "267423_at" "267424_at"
## [22525] "267425_at" "267426_at"
## [22527] "267427_at" "267428_at"
## [22529] "267429_at" "267430_at"
## [22531] "267431_at" "267432_at"
## [22533] "267433_at" "267434_at"
## [22535] "267435_at" "267436_at"
## [22537] "267437_at" "267438_at"
## [22539] "267439_at" "267440_at"
## [22541] "267441_at" "267442_at"
## [22543] "267443_at" "267444_at"
## [22545] "267445_at" "267446_s_at"
## [22547] "267447_at" "267448_at"
## [22549] "267449_at" "267450_at"
## [22551] "267451_at" "267452_at"
## [22553] "267453_at" "267454_at"
## [22555] "267455_at" "267456_at"
## [22557] "267457_at" "267458_at"
## [22559] "267459_at" "267460_at"
## [22561] "267461_at" "267462_at"
## [22563] "267463_at" "267464_at"
## [22565] "267465_at" "267466_at"
## [22567] "267467_at" "267468_at"
## [22569] "267469_at" "267470_at"
## [22571] "267471_at" "267472_at"
## [22573] "267473_at" "267474_at"
## [22575] "267475_at" "267476_at"
## [22577] "267477_at" "267478_at"
## [22579] "267479_at" "267480_at"
## [22581] "267481_at" "267482_s_at"
## [22583] "267483_at" "267484_at"
## [22585] "267485_at" "267486_at"
## [22587] "267487_at" "267488_at"
## [22589] "267489_s_at" "267490_at"
## [22591] "267491_at" "267492_at"
## [22593] "267493_at" "267494_at"
## [22595] "267495_at" "267496_at"
## [22597] "267497_at" "267498_at"
## [22599] "267499_at" "267500_s_at"
## [22601] "267501_at" "267502_at"
## [22603] "267503_at" "267504_at"
## [22605] "267505_at" "267506_at"
## [22607] "267507_at" "267508_at"
## [22609] "267509_at" "267510_at"
## [22611] "267511_at" "267512_at"
## [22613] "267513_at" "267514_at"
## [22615] "267515_at" "267516_at"
## [22617] "267517_at" "267518_at"
## [22619] "267519_at" "267520_at"
## [22621] "267521_at" "267522_at"
## [22623] "267523_at" "267524_at"
## [22625] "267525_at" "267526_at"
## [22627] "267527_at" "267528_at"
## [22629] "267529_at" "267530_at"
## [22631] "267531_at" "267532_at"
## [22633] "267533_at" "267534_at"
## [22635] "267535_at" "267536_at"
## [22637] "267537_at" "267538_at"
## [22639] "267539_at" "267540_at"
## [22641] "267541_at" "267542_at"
## [22643] "267543_at" "267544_at"
## [22645] "267545_at" "267546_at"
## [22647] "267547_at" "267548_at"
## [22649] "267549_at" "267550_at"
## [22651] "267551_at" "267552_at"
## [22653] "267553_s_at" "267554_at"
## [22655] "267555_at" "267556_at"
## [22657] "267557_at" "267558_at"
## [22659] "267559_at" "267560_at"
## [22661] "267561_at" "267562_at"
## [22663] "267563_at" "267564_at"
## [22665] "267565_at" "267566_at"
## [22667] "267567_at" "267568_at"
## [22669] "267569_at" "267570_at"
## [22671] "267571_at" "267572_at"
## [22673] "267573_at" "267574_at"
## [22675] "267575_at" "267576_at"
## [22677] "267577_at" "267578_at"
## [22679] "267579_at" "267580_at"
## [22681] "267581_at" "267582_at"
## [22683] "267583_at" "267584_at"
## [22685] "267585_s_at" "267586_at"
## [22687] "267587_at" "267588_at"
## [22689] "267589_at" "267590_at"
## [22691] "267591_at" "267592_at"
## [22693] "267593_at" "267594_at"
## [22695] "267595_at" "267596_s_at"
## [22697] "267597_at" "267598_at"
## [22699] "267599_at" "267600_at"
## [22701] "267601_at" "267602_at"
## [22703] "267603_at" "267604_at"
## [22705] "267605_at" "267606_at"
## [22707] "267607_s_at" "267608_at"
## [22709] "267609_at" "267610_at"
## [22711] "267611_at" "267612_at"
## [22713] "267613_at" "267614_at"
## [22715] "267615_at" "267616_at"
## [22717] "267617_at" "267618_at"
## [22719] "267619_at" "267620_at"
## [22721] "267621_at" "267622_at"
## [22723] "267623_at" "267624_at"
## [22725] "267625_at" "267626_at"
## [22727] "267627_at" "267628_at"
## [22729] "267629_at" "267630_at"
## [22731] "267631_at" "267632_at"
## [22733] "267633_at" "267634_at"
## [22735] "267635_at" "267636_at"
## [22737] "267637_at" "267638_at"
## [22739] "267639_at" "267640_at"
## [22741] "267641_at" "267642_at"
## [22743] "267643_at" "267644_s_at"
## [22745] "267645_at" "267646_at"
## [22747] "AFFX-Athal-25SrRNA_s_at" "AFFX-Athal-5SrRNA_at"
## [22749] "AFFX-Athal-Actin_3_f_at" "AFFX-Athal-Actin_5_r_at"
## [22751] "AFFX-Athal-Actin_M_at" "AFFX-Athal-GAPDH_3_s_at"
## [22753] "AFFX-Athal-GAPDH_5_s_at" "AFFX-Athal-GAPDH_M_s_at"
## [22755] "AFFX-Athal-Ubq_3_f_at" "AFFX-Athal-Ubq_5_f_at"
## [22757] "AFFX-Athal-Ubq_M_f_at" "AFFX-BioB-3_at"
## [22759] "AFFX-BioB-5_at" "AFFX-BioB-M_at"
## [22761] "AFFX-BioC-3_at" "AFFX-BioC-5_at"
## [22763] "AFFX-BioDn-3_at" "AFFX-BioDn-5_at"
## [22765] "AFFX-CreX-3_at" "AFFX-CreX-5_at"
## [22767] "AFFX-DapX-3_at" "AFFX-DapX-5_at"
## [22769] "AFFX-DapX-M_at" "AFFX-LysX-3_at"
## [22771] "AFFX-LysX-5_at" "AFFX-LysX-M_at"
## [22773] "AFFX-PheX-3_at" "AFFX-PheX-5_at"
## [22775] "AFFX-PheX-M_at" "AFFX-r2-At-Actin-3_s_at"
## [22777] "AFFX-r2-At-Actin-5_s_at" "AFFX-r2-At-Actin-M_s_at"
## [22779] "AFFX-r2-At-GAPDH-3_s_at" "AFFX-r2-At-GAPDH-5_s_at"
## [22781] "AFFX-r2-At-U12639_at" "AFFX-r2-At-Ubq-3_x_at"
## [22783] "AFFX-r2-At-Ubq-5_x_at" "AFFX-r2-Bs-dap-3_at"
## [22785] "AFFX-r2-Bs-dap-5_at" "AFFX-r2-Bs-dap-M_at"
## [22787] "AFFX-r2-Bs-lys-3_at" "AFFX-r2-Bs-lys-5_at"
## [22789] "AFFX-r2-Bs-lys-M_at" "AFFX-r2-Bs-phe-3_at"
## [22791] "AFFX-r2-Bs-phe-5_at" "AFFX-r2-Bs-phe-M_at"
## [22793] "AFFX-r2-Bs-thr-3_s_at" "AFFX-r2-Bs-thr-5_s_at"
## [22795] "AFFX-r2-Bs-thr-M_s_at" "AFFX-r2-Ec-bioB-3_at"
## [22797] "AFFX-r2-Ec-bioB-5_at" "AFFX-r2-Ec-bioB-M_at"
## [22799] "AFFX-r2-Ec-bioC-3_at" "AFFX-r2-Ec-bioC-5_at"
## [22801] "AFFX-r2-Ec-bioD-3_at" "AFFX-r2-Ec-bioD-5_at"
## [22803] "AFFX-r2-P1-cre-3_at" "AFFX-r2-P1-cre-5_at"
## [22805] "AFFX-ThrX-3_at" "AFFX-ThrX-5_at"
## [22807] "AFFX-ThrX-M_at" "AFFX-TrpnX-3_at"
## [22809] "AFFX-TrpnX-5_at" "AFFX-TrpnX-M_at"Symbol <- getSYMBOL(ID, "ath1121501.db")
affydata <- read.delim("affy_ATH1_array_elements.txt")Differential Gene Expression Analysis
Flight vs Ground
condition <- targets$gravity
design <- model.matrix(~factor(condition))
colnames(design) <- c("flight","ground")
fit <- lmFit(eset, design)
fit <- eBayes(fit)
options(digits = 2)
top <- topTable(fit, coef =2, n=Inf, adjust='fdr')Lets combine annotations.
Annot <- data.frame(GENE = sapply(contents(ath1121501GENENAME), paste, collapse = ","),
KEGG = sapply(contents(ath1121501PATH), paste, collapse = ","),
GO = sapply(contents(ath1121501GO), paste, collapse = ","),
SYMBOL = sapply(contents(ath1121501SYMBOL), paste, collapse = ","),
ACCNUM = sapply(contents(ath1121501ACCNUM), paste, collapse = ","))Lets merge all the data into one dataframe.
all <- merge(Annot, top, by.x = 0, by.y = 0,all = TRUE)
all2 <- merge(all, affydata, by.x = "Row.names", by.y = "array_element_name") Lets convert the ACCNUM to a character value.
all2$ACCNUM <- as.character(all2$ACCNUM)
write.table(all2, file="BRIC_16_Final.csv", row.names = TRUE, col.names = TRUE, sep = "\t")
columns(org.At.tair.db)## [1] "ARACYC" "ARACYCENZYME" "ENTREZID" "ENZYME" "EVIDENCE"
## [6] "EVIDENCEALL" "GENENAME" "GO" "GOALL" "ONTOLOGY"
## [11] "ONTOLOGYALL" "PATH" "PMID" "REFSEQ" "SYMBOL"
## [16] "TAIR"foldchanges <- as.data.frame(all2$logFC)
all2$entrez = mapIds(org.At.tair.db,
keys = all2$ACCNUM,
column = "ENTREZID",
keytype = "TAIR",
multivals = "first")## 'select()' returned 1:1 mapping between keys and columnshead(all2, 10)## Row.names
## 1 244901_at
## 2 244902_at
## 3 244903_at
## 4 244904_at
## 5 244905_at
## 6 244906_at
## 7 244907_at
## 8 244908_at
## 9 244909_at
## 10 244910_s_at
## GENE
## 1 encodes a plant b subunit of mitochondrial ATP synthase based on structural similarity and the presence in the F(0) complex.
## 2 Encodes NADH dehydrogenase subunit 4L.
## 3 hypothetical protein
## 4 hypothetical protein
## 5 hypothetical protein
## 6 hypothetical protein
## 7 hypothetical protein
## 8 hypothetical protein
## 9 hypothetical protein
## 10 hypothetical protein
## KEGG
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## 7 NA
## 8 NA
## 9 NA
## 10 NA
## GO
## 1 list(GOID = "GO:0015986", Evidence = "TAS", Ontology = "BP"),list(GOID = "GO:0015986", Evidence = "IEA", Ontology = "BP"),list(GOID = "GO:0015986", Evidence = "TAS", Ontology = "BP"),list(GOID = "GO:0015986", Evidence = "IEA", Ontology = "BP"),list(GOID = "GO:0015986", Evidence = "TAS", Ontology = "BP"),list(GOID = "GO:0015986", Evidence = "TAS", Ontology = "BP"),list(GOID = "GO:0015986", Evidence = "IEA", Ontology = "BP"),list(GOID = "GO:0015986", Evidence = "IEA", Ontology = "BP"),list(GOID = "GO:0015986", Evidence = "IEA", Ontology = "BP"),list(GOID = "GO:0015986", Evidence = "TAS", Ontology = "BP"),list(GOID = "GO:0000276", Evidence = "IDA", Ontology = "CC"),list(GOID = "GO:0000276", Evidence = "IBA", Ontology = "CC"),list(GOID = "GO:0000276", Evidence = "IBA", Ontology = "CC"),list(GOID = "GO:0000276", Evidence = "IBA", Ontology = "CC"),list(GOID = "GO:0000276", Evidence = "IDA", Ontology = "CC"),list(GOID = "GO:0000276", Evidence = "IDA", Ontology = "CC"),list(GOID = "GO:0005739", Evidence = "HDA", Ontology = "CC"),list(GOID = "GO:0005739", Evidence = "HDA", Ontology = "CC"),list(GOID = "GO:0005739", Evidence = "HDA", Ontology = "CC"),list(GOID = "GO:0005739", Evidence = "ISM", Ontology = "CC"),list(GOID = "GO:0005753", Evidence = "HDA", Ontology = "CC"),list(GOID = "GO:0005753", Evidence = "HDA", Ontology = "CC"),list(GOID = "GO:0005753", Evidence = "HDA", Ontology = "CC"),list(GOID = "GO:0008270", Evidence = "HDA", Ontology = "MF"),list(GOID = "GO:0015078", Evidence = "IEA", Ontology = "MF"),list(GOID = "GO:0046933", Evidence = "TAS", Ontology = "MF"),list(GOID = "GO:0046933", Evidence = "TAS", Ontology = "MF")
## 2 list(GOID = "GO:0042773", Evidence = "IEA", Ontology = "BP"),list(GOID = "GO:0042773", Evidence = "IEA", Ontology = "BP"),list(GOID = "GO:0042773", Evidence = "IEA", Ontology = "BP"),list(GOID = "GO:0045333", Evidence = "TAS", Ontology = "BP"),list(GOID = "GO:0005739", Evidence = "TAS", Ontology = "CC"),list(GOID = "GO:0005739", Evidence = "ISM", Ontology = "CC"),list(GOID = "GO:0030964", Evidence = "IBA", Ontology = "CC"),list(GOID = "GO:0045271", Evidence = "TAS", Ontology = "CC"),list(GOID = "GO:0045272", Evidence = "IBA", Ontology = "CC"),list(GOID = "GO:0045272", Evidence = "IBA", Ontology = "CC"),list(GOID = "GO:0003954", Evidence = "TAS", Ontology = "MF"),list(GOID = "GO:0008137", Evidence = "IBA", Ontology = "MF")
## 3 list(GOID = "GO:0008150", Evidence = "ND", Ontology = "BP"),list(GOID = "GO:0005739", Evidence = "ISM", Ontology = "CC"),list(GOID = "GO:0003674", Evidence = "ND", Ontology = "MF")
## 4 list(GOID = "GO:0008150", Evidence = "ND", Ontology = "BP"),list(GOID = "GO:0005739", Evidence = "ISM", Ontology = "CC"),list(GOID = "GO:0003674", Evidence = "ND", Ontology = "MF")
## 5 list(GOID = "GO:0008150", Evidence = "ND", Ontology = "BP"),list(GOID = "GO:0005739", Evidence = "ISM", Ontology = "CC"),list(GOID = "GO:0003674", Evidence = "ND", Ontology = "MF")
## 6 list(GOID = "GO:0005739", Evidence = "ISM", Ontology = "CC")
## 7 list(GOID = "GO:0008150", Evidence = "ND", Ontology = "BP"),list(GOID = "GO:0005739", Evidence = "ISM", Ontology = "CC")
## 8 list(GOID = "GO:0008150", Evidence = "ND", Ontology = "BP"),list(GOID = "GO:0005739", Evidence = "ISM", Ontology = "CC"),list(GOID = "GO:0003674", Evidence = "ND", Ontology = "MF")
## 9 list(GOID = "GO:0008150", Evidence = "ND", Ontology = "BP"),list(GOID = "GO:0005739", Evidence = "ISM", Ontology = "CC"),list(GOID = "GO:0003674", Evidence = "ND", Ontology = "MF")
## 10 list(GOID = "GO:0008150", Evidence = "ND", Ontology = "BP"),list(GOID = "GO:0005739", Evidence = "ISM", Ontology = "CC"),list(GOID = "GO:0003674", Evidence = "ND", Ontology = "MF")
## SYMBOL ACCNUM logFC AveExpr t P.Value adj.P.Val B
## 1 ORF25 ATMG00640 -0.742 8.5 -3.74 0.0069 0.081 -2.5
## 2 NAD4L ATMG00650 -0.826 7.5 -3.55 0.0090 0.094 -2.7
## 3 ORF149 ATMG00660 -1.214 7.8 -6.20 0.0004 0.018 0.5
## 4 ORF275 ATMG00670 -0.568 3.2 -2.07 0.0758 0.300 -4.9
## 5 ORF122C ATMG00680 0.120 1.4 0.60 0.5661 0.794 -6.6
## 6 ORF240A ATMG00690 0.055 9.1 0.18 0.8586 0.947 -6.8
## 7 ORF120 ATMG00710 -0.883 4.3 -2.91 0.0220 0.154 -3.7
## 8 ORF107D ATMG00720 -0.463 2.2 -1.73 0.1262 0.396 -5.4
## 9 ORF100A ATMG00740 -0.510 1.5 -3.18 0.0150 0.125 -3.3
## 10 ORF119 ATMG00750 -0.694 1.9 -2.09 0.0744 0.297 -4.9
## array_element_type organism is_control locus
## 1 oligonucleotide Arabidopsis thaliana no ATMG00640
## 2 oligonucleotide Arabidopsis thaliana no ATMG00650
## 3 oligonucleotide Arabidopsis thaliana no ATMG00660
## 4 oligonucleotide Arabidopsis thaliana no ATMG00670
## 5 oligonucleotide Arabidopsis thaliana no ATMG00680
## 6 oligonucleotide Arabidopsis thaliana no ATMG00690
## 7 oligonucleotide Arabidopsis thaliana no ATMG00710
## 8 oligonucleotide Arabidopsis thaliana no ATMG00720
## 9 oligonucleotide Arabidopsis thaliana no ATMG00740
## 10 oligonucleotide Arabidopsis thaliana no ATMG00750;AT2G07686
## description
## 1 hydrogen ion transporting ATP synthases, rotational mechanism;zinc ion binding
## 2 NADH dehydrogenase subunit 4L
## 3 hypothetical protein
## 4 hypothetical protein
## 5 hypothetical protein
## 6 hypothetical protein
## 7 Polynucleotidyl transferase, ribonuclease H-like superfamily protein
## 8 hypothetical protein
## 9 hypothetical protein
## 10 [ATMG00750, GAG/POL/ENV polyprotein];[AT2G07686, transposable element gene]
## chromosome start
## 1 M 188160
## 2 M 188954
## 3 M 190106
## 4 M 191055
## 5 M 201768
## 6 M 203634
## 7 M 207571
## 8 M 209500
## 9 M 220521
## 10 [ATMG00750, M];[AT2G07686, 2] [ATMG00750, 220851];[AT2G07686, 3309747]
## stop entrez
## 1 188619 NA
## 2 189182 NA
## 3 190540 NA
## 4 191627 NA
## 5 202096 NA
## 6 204043 NA
## 7 207882 NA
## 8 209821 NA
## 9 220769 NA
## 10 [ATMG00750, 221184];[AT2G07686, 3310080] NAPathview
Let load pathview libraries.
library(pathview)## ## ##############################################################################
## Pathview is an open source software package distributed under GNU General
## Public License version 3 (GPLv3). Details of GPLv3 is available at
## http://www.gnu.org/licenses/gpl-3.0.html. Particullary, users are required to
## formally cite the original Pathview paper (not just mention it) in publications
## or products. For details, do citation("pathview") within R.
##
## The pathview downloads and uses KEGG data. Non-academic uses may require a KEGG
## license agreement (details at http://www.kegg.jp/kegg/legal.html).
## ##############################################################################library(gage)## library(gageData)
data(kegg.sets.hs)
foldchanges = all2$logFC
names(foldchanges) = all2$entrez
head(foldchanges)## <NA> <NA> <NA> <NA> <NA> <NA>
## -0.742 -0.826 -1.214 -0.568 0.120 0.055kegg.ath = kegg.gsets("ath", id.type = "entrez")
kegg.ath.sigmet = kegg.ath$kg.sets[kegg.ath$sigmet.idx]Lets get the results
keggres = gage(foldchanges, gsets=kegg.ath.sigmet, same.dir = TRUE)
lapply(keggres, head)## $greater
## p.geomean stat.mean p.val q.val
## ath03010 Ribosome 2.4e-27 11.5 2.4e-27 2.7e-25
## ath00195 Photosynthesis 7.6e-06 4.6 7.6e-06 4.3e-04
## ath04145 Phagosome 3.2e-05 4.1 3.2e-05 1.2e-03
## ath01230 Biosynthesis of amino acids 5.5e-05 3.9 5.5e-05 1.5e-03
## ath00190 Oxidative phosphorylation 6.0e-04 3.3 6.0e-04 1.3e-02
## ath00020 Citrate cycle (TCA cycle) 1.4e-03 3.1 1.4e-03 2.6e-02
## set.size exp1
## ath03010 Ribosome 261 2.4e-27
## ath00195 Photosynthesis 44 7.6e-06
## ath04145 Phagosome 71 3.2e-05
## ath01230 Biosynthesis of amino acids 201 5.5e-05
## ath00190 Oxidative phosphorylation 97 6.0e-04
## ath00020 Citrate cycle (TCA cycle) 57 1.4e-03
##
## $less
## p.geomean stat.mean p.val
## ath04016 MAPK signaling pathway - plant 0.0035 -2.7 0.0035
## ath00906 Carotenoid biosynthesis 0.0198 -2.1 0.0198
## ath04141 Protein processing in endoplasmic reticulum 0.0283 -1.9 0.0283
## ath00592 alpha-Linolenic acid metabolism 0.0552 -1.6 0.0552
## ath00071 Fatty acid degradation 0.1160 -1.2 0.1160
## ath04122 Sulfur relay system 0.1415 -1.1 0.1415
## q.val set.size exp1
## ath04016 MAPK signaling pathway - plant 0.4 129 0.0035
## ath00906 Carotenoid biosynthesis 1.0 28 0.0198
## ath04141 Protein processing in endoplasmic reticulum 1.0 189 0.0283
## ath00592 alpha-Linolenic acid metabolism 1.0 36 0.0552
## ath00071 Fatty acid degradation 1.0 45 0.1160
## ath04122 Sulfur relay system 1.0 11 0.1415
##
## $stats
## stat.mean exp1
## ath03010 Ribosome 11.5 11.5
## ath00195 Photosynthesis 4.6 4.6
## ath04145 Phagosome 4.1 4.1
## ath01230 Biosynthesis of amino acids 3.9 3.9
## ath00190 Oxidative phosphorylation 3.3 3.3
## ath00020 Citrate cycle (TCA cycle) 3.1 3.1greater <- keggres$greater
lesser <- keggres$less
write.csv(greater, file = "BRIC_16_pathview_Greater_Pathways.csv")
write.csv(lesser, file = "BRIC_16_pathview_Greater_Pathways.csv")Lets map to pathways (greater).
keggrespathways = data.frame(id=rownames(keggres$greater), keggres$greater) %>%
tbl_df() %>%
filter(row_number() <=5) %>%
.$id %>%
as.character()## Warning: `tbl_df()` was deprecated in dplyr 1.0.0.
## Please use `tibble::as_tibble()` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was generated.keggrespathways## [1] "ath03010 Ribosome"
## [2] "ath00195 Photosynthesis"
## [3] "ath04145 Phagosome"
## [4] "ath01230 Biosynthesis of amino acids"
## [5] "ath00190 Oxidative phosphorylation"keggresids_greater = substr(keggrespathways, start=1, stop=8)
keggresids_greater## [1] "ath03010" "ath00195" "ath04145" "ath01230" "ath00190"genedata <- as.character(all2$logFC)Define a plotting function to apply next.
plot_pathway = function(pid) pathview(gene.data=foldchanges, id = pid, species = "ath", new.signature = FALSE)Plot multiple pathways (plots are saved to disk and returns a throwaway object list).
tmp= sapply(keggresids_greater, function(pid) pathview(gene.data=foldchanges, pathway.id = pid, species = "ath"))## Info: Getting gene ID data from KEGG...## Info: Done with data retrieval!## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file ath03010.pathview.png## Info: Getting gene ID data from KEGG...## Info: Done with data retrieval!## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file ath00195.pathview.png## Info: Getting gene ID data from KEGG...## Info: Done with data retrieval!## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file ath04145.pathview.png## Info: Getting gene ID data from KEGG...## Info: Done with data retrieval!## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file ath01230.pathview.png## Info: Getting gene ID data from KEGG...## Info: Done with data retrieval!## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file ath00190.pathview.png## Info: some node width is different from others, and hence adjusted!
## Info: some node width is different from others, and hence adjusted!Lets map to pathways (lessers).
keggrespathways = data.frame(id=rownames(keggres$less), keggres$less) %>%
tbl_df() %>%
filter(row_number() <=5) %>%
.$id %>%
as.character()
keggrespathways## [1] "ath04016 MAPK signaling pathway - plant"
## [2] "ath00906 Carotenoid biosynthesis"
## [3] "ath04141 Protein processing in endoplasmic reticulum"
## [4] "ath00592 alpha-Linolenic acid metabolism"
## [5] "ath00071 Fatty acid degradation"keggresids_less = substr(keggrespathways, start=1, stop=8)
keggresids_less## [1] "ath04016" "ath00906" "ath04141" "ath00592" "ath00071"genedata <- as.character(all2$logFC)Define a plotting function to apply next.
plot_pathway = function(pid) pathview(gene.data=foldchanges, id = pid, species = "ath", new.signature = FALSE)Plot multiple pathways (plots are saved to disk and returns a throwaway object list)
tmp= sapply(keggresids_less, function(pid) pathview(gene.data=foldchanges, pathway.id = pid, species = "ath"))## Info: Getting gene ID data from KEGG...## Info: Done with data retrieval!## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file ath04016.pathview.png## Info: some node width is different from others, and hence adjusted!## Info: Getting gene ID data from KEGG...## Info: Done with data retrieval!## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file ath00906.pathview.png## Info: Getting gene ID data from KEGG...## Info: Done with data retrieval!## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file ath04141.pathview.png## Info: Getting gene ID data from KEGG...## Info: Done with data retrieval!## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file ath00592.pathview.png## Info: Getting gene ID data from KEGG...## Info: Done with data retrieval!## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file ath00071.pathview.pngEdgeR
Let’s load some packages.
library("edgeR")
library("dplyr")
library("AnnotationDbi")
library("org.Mm.eg.db")## Now we will look at some data.
rawdata = read.csv("cake.csv", row.name = "gene_id")
group <- factor(c('1','1','1','1','1','1','2','2','2','2','2','2'))
dgeGlm <- DGEList(counts = rawdata, group = group)
str(dgeGlm)## Formal class 'DGEList' [package "edgeR"] with 1 slot
## ..@ .Data:List of 2
## .. ..$ : num [1:24035, 1:12] 2976.8 59.8 21.2 40.1 0 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : chr [1:24035] "ENSMUSG00000000001" "ENSMUSG00000000028" "ENSMUSG00000000031" "ENSMUSG00000000037" ...
## .. .. .. ..$ : chr [1:12] "Mmus_C57.6J_KDN_FLT_Rep1_M23" "Mmus_C57.6J_KDN_FLT_Rep2_M24" "Mmus_C57.6J_KDN_FLT_Rep3_M25" "Mmus_C57.6J_KDN_FLT_Rep4_M26" ...
## .. ..$ :'data.frame': 12 obs. of 3 variables:
## .. .. ..$ group : Factor w/ 2 levels "1","2": 1 1 1 1 1 1 2 2 2 2 ...
## .. .. ..$ lib.size : num [1:12] 40266365 40740336 37739541 39196969 36820645 ...
## .. .. ..$ norm.factors: num [1:12] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ names: chr [1:2] "counts" "samples"keep <- rowSums(cpm(dgeGlm)>2) >=4
dgeGlm <- dgeGlm[keep,]
names(dgeGlm)## [1] "counts" "samples"dgeGlm[["samples"]]## group lib.size norm.factors
## Mmus_C57.6J_KDN_FLT_Rep1_M23 1 4.0e+07 1
## Mmus_C57.6J_KDN_FLT_Rep2_M24 1 4.1e+07 1
## Mmus_C57.6J_KDN_FLT_Rep3_M25 1 3.8e+07 1
## Mmus_C57.6J_KDN_FLT_Rep4_M26 1 3.9e+07 1
## Mmus_C57.6J_KDN_FLT_Rep5_M27 1 3.7e+07 1
## Mmus_C57.6J_KDN_FLT_Rep6_M28 1 3.6e+07 1
## Mmus_C57.6J_KDN_GC_Rep1_M33 2 3.7e+07 1
## Mmus_C57.6J_KDN_GC_Rep2_M34 2 3.7e+07 1
## Mmus_C57.6J_KDN_GC_Rep3_M35 2 4.0e+07 1
## Mmus_C57.6J_KDN_GC_Rep4_M36 2 3.6e+07 1
## Mmus_C57.6J_KDN_GC_Rep5_M37 2 3.8e+07 1
## Mmus_C57.6J_KDN_GC_Rep6_M38 2 3.5e+07 1design <- model.matrix(~group)
design## (Intercept) group2
## 1 1 0
## 2 1 0
## 3 1 0
## 4 1 0
## 5 1 0
## 6 1 0
## 7 1 1
## 8 1 1
## 9 1 1
## 10 1 1
## 11 1 1
## 12 1 1
## attr(,"assign")
## [1] 0 1
## attr(,"contrasts")
## attr(,"contrasts")$group
## [1] "contr.treatment"dgeGlmComDisp <- estimateGLMCommonDisp(dgeGlm, design, verbose = TRUE)## Disp = 0.026 , BCV = 0.16dgeGlmTrendDisp <- estimateGLMCommonDisp(dgeGlmComDisp, design)
dgeGlmTagDisp <- estimateGLMTagwiseDisp(dgeGlmTrendDisp, design)
plotBCV(dgeGlmTagDisp)
fit <- glmFit(dgeGlmTagDisp, design)
colnames(coef(fit))## [1] "(Intercept)" "group2"lrt <- glmLRT(fit, coef =2)
ttGlm <- topTags(lrt, n = Inf)
class(ttGlm)## [1] "TopTags"
## attr(,"package")
## [1] "edgeR"We will now turn the data into a Histogram.
summary(dgeGlm <- decideTestsDGE(lrt, p = 0.01, adjust = "fdr"))## group2
## Down 21
## NotSig 13566
## Up 26tagsGlm <- rownames(dgeGlmTagDisp)[as.logical(dgeGlm)]
plotSmear(lrt,de.tags = tagsGlm)
hist2 <- ttGlm$table[ttGlm$table$FDR < 0.1, ]
write.csv(hist2, "Mouse_Edger_results_Zero_vs_1.csv")With this data, we will create a table.
columns(org.Mm.eg.db)## [1] "ACCNUM" "ALIAS" "ENSEMBL" "ENSEMBLPROT" "ENSEMBLTRANS"
## [6] "ENTREZID" "ENZYME" "EVIDENCE" "EVIDENCEALL" "GENENAME"
## [11] "GENETYPE" "GO" "GOALL" "IPI" "MGI"
## [16] "ONTOLOGY" "ONTOLOGYALL" "PATH" "PFAM" "PMID"
## [21] "PROSITE" "REFSEQ" "SYMBOL" "UNIPROT"ttGlm2 <- as.data.frame(ttGlm$table)
ttGlm2$symbol = mapIds(org.Mm.eg.db,
keys=row.names(ttGlm2),
column = "SYMBOL",
keytype = "ENSEMBL",
multivals = "first")## 'select()' returned 1:many mapping between keys and columnsttGlm2$entrez = mapIds(org.Mm.eg.db,
keys=row.names(ttGlm2),
column = "ENTREZID",
keytype = "ENSEMBL",
multivals = "first")## 'select()' returned 1:many mapping between keys and columnsttGlm2$name = mapIds(org.Mm.eg.db,
keys=row.names(ttGlm2),
column = "GENENAME",
keytype = "ENSEMBL",
multivals = "first")## 'select()' returned 1:many mapping between keys and columnshead(ttGlm2)## logFC logCPM LR PValue FDR symbol entrez
## ENSMUSG00000026077 -1.36 3.6 81 2.0e-19 2.8e-15 Npas2 18143
## ENSMUSG00000007872 0.89 5.5 57 4.7e-14 3.2e-10 Id3 15903
## ENSMUSG00000059824 2.26 4.6 55 1.1e-13 4.9e-10 Dbp 13170
## ENSMUSG00000021775 0.95 6.2 48 3.5e-12 1.1e-08 Nr1d2 353187
## ENSMUSG00000002250 -0.83 5.3 48 4.0e-12 1.1e-08 Ppard 19015
## ENSMUSG00000034450 1.93 0.7 47 8.7e-12 2.0e-08 Gulo 268756
## name
## ENSMUSG00000026077 neuronal PAS domain protein 2
## ENSMUSG00000007872 inhibitor of DNA binding 3
## ENSMUSG00000059824 D site albumin promoter binding protein
## ENSMUSG00000021775 nuclear receptor subfamily 1, group D, member 2
## ENSMUSG00000002250 peroxisome proliferator activator receptor delta
## ENSMUSG00000034450 gulonolactone (L-) oxidaseWe will load some packages here to create greater and lesser data.
library(pathview)
library(gage)
library(gageData)
data(kegg.sets.mm)
data(go.subs.mm)
foldchanges <- ttGlm2$logFC
names(foldchanges) <- ttGlm2$entrez
kegg.mm = kegg.gsets("mouse", id.type = "entrez")
kegg.mm.sigmet = kegg.mm$kg.sets[kegg.mm$sigmet.idx]
# Lets get the results
keggres = gage(foldchanges, gsets=kegg.mm.sigmet, same.dir = TRUE)
lapply(keggres, head)## $greater
## p.geomean
## mmu03010 Ribosome 9.5e-05
## mmu04550 Signaling pathways regulating pluripotency of stem cells 2.0e-03
## mmu04350 TGF-beta signaling pathway 7.7e-03
## mmu04330 Notch signaling pathway 1.0e-02
## mmu04390 Hippo signaling pathway 2.0e-02
## mmu00830 Retinol metabolism 2.1e-02
## stat.mean
## mmu03010 Ribosome 3.8
## mmu04550 Signaling pathways regulating pluripotency of stem cells 2.9
## mmu04350 TGF-beta signaling pathway 2.5
## mmu04330 Notch signaling pathway 2.4
## mmu04390 Hippo signaling pathway 2.1
## mmu00830 Retinol metabolism 2.1
## p.val q.val
## mmu03010 Ribosome 9.5e-05 0.022
## mmu04550 Signaling pathways regulating pluripotency of stem cells 2.0e-03 0.230
## mmu04350 TGF-beta signaling pathway 7.7e-03 0.589
## mmu04330 Notch signaling pathway 1.0e-02 0.589
## mmu04390 Hippo signaling pathway 2.0e-02 0.812
## mmu00830 Retinol metabolism 2.1e-02 0.812
## set.size
## mmu03010 Ribosome 127
## mmu04550 Signaling pathways regulating pluripotency of stem cells 100
## mmu04350 TGF-beta signaling pathway 72
## mmu04330 Notch signaling pathway 51
## mmu04390 Hippo signaling pathway 125
## mmu00830 Retinol metabolism 37
## exp1
## mmu03010 Ribosome 9.5e-05
## mmu04550 Signaling pathways regulating pluripotency of stem cells 2.0e-03
## mmu04350 TGF-beta signaling pathway 7.7e-03
## mmu04330 Notch signaling pathway 1.0e-02
## mmu04390 Hippo signaling pathway 2.0e-02
## mmu00830 Retinol metabolism 2.1e-02
##
## $less
## p.geomean stat.mean p.val q.val set.size
## mmu04145 Phagosome 0.0019 -2.9 0.0019 0.33 121
## mmu04714 Thermogenesis 0.0048 -2.6 0.0048 0.33 207
## mmu04110 Cell cycle 0.0051 -2.6 0.0051 0.33 110
## mmu04217 Necroptosis 0.0056 -2.6 0.0056 0.33 113
## mmu00910 Nitrogen metabolism 0.0087 -2.6 0.0087 0.41 13
## mmu00190 Oxidative phosphorylation 0.0118 -2.3 0.0118 0.41 125
## exp1
## mmu04145 Phagosome 0.0019
## mmu04714 Thermogenesis 0.0048
## mmu04110 Cell cycle 0.0051
## mmu04217 Necroptosis 0.0056
## mmu00910 Nitrogen metabolism 0.0087
## mmu00190 Oxidative phosphorylation 0.0118
##
## $stats
## stat.mean
## mmu03010 Ribosome 3.8
## mmu04550 Signaling pathways regulating pluripotency of stem cells 2.9
## mmu04350 TGF-beta signaling pathway 2.5
## mmu04330 Notch signaling pathway 2.4
## mmu04390 Hippo signaling pathway 2.1
## mmu00830 Retinol metabolism 2.1
## exp1
## mmu03010 Ribosome 3.8
## mmu04550 Signaling pathways regulating pluripotency of stem cells 2.9
## mmu04350 TGF-beta signaling pathway 2.5
## mmu04330 Notch signaling pathway 2.4
## mmu04390 Hippo signaling pathway 2.1
## mmu00830 Retinol metabolism 2.1greaters <-keggres$greater
lessers <- keggres$lesskeggrespathways = data.frame(id = rownames(keggres$greater), keggres$greater) %>%
tibble::as_tibble() %>%
filter(row_number()<=5) %>%
.$id %>%
as.character()
keggrespathways## [1] "mmu03010 Ribosome"
## [2] "mmu04550 Signaling pathways regulating pluripotency of stem cells"
## [3] "mmu04350 TGF-beta signaling pathway"
## [4] "mmu04330 Notch signaling pathway"
## [5] "mmu04390 Hippo signaling pathway"keggresids = substr(keggrespathways, start=1, stop = 8)
keggresids## [1] "mmu03010" "mmu04550" "mmu04350" "mmu04330" "mmu04390"Here we will plot various pathways with the the species of mouse.
plot_pathway = function(pid) pathview(gene.data = foldchanges, pathway.id = pid, species = "mouse", new.signature = FALSE)
# plot multiple pathways
tmp = sapply(keggresids, function(pid) pathview(gene.data=foldchanges, pathway.id = pid, species = "mouse"))## 'select()' returned 1:1 mapping between keys and columns## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file mmu03010.pathview.png## 'select()' returned 1:1 mapping between keys and columns## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file mmu04550.pathview.png## 'select()' returned 1:1 mapping between keys and columns## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file mmu04350.pathview.png## 'select()' returned 1:1 mapping between keys and columns## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file mmu04330.pathview.png## 'select()' returned 1:1 mapping between keys and columns## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file mmu04390.pathview.pngkeggrespathways2 = data.frame(id = rownames(keggres$less), keggres$less) %>%
tibble::as_tibble() %>%
filter(row_number()<=5) %>%
.$id %>%
as.character()
keggrespathways2## [1] "mmu04145 Phagosome" "mmu04714 Thermogenesis"
## [3] "mmu04110 Cell cycle" "mmu04217 Necroptosis"
## [5] "mmu00910 Nitrogen metabolism"keggresids2 = substr(keggrespathways, start=1, stop = 8)
keggresids2## [1] "mmu03010" "mmu04550" "mmu04350" "mmu04330" "mmu04390"plot_pathway = function(pid) pathview(gene.data = foldchanges, pathway.id = pid, species = "mouse", new.signature = FALSE)
# plot multiple pathways
tmp = sapply(keggresids2, function(pid) pathview(gene.data=foldchanges, pathway.id = pid, species = "mouse"))## 'select()' returned 1:1 mapping between keys and columns## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file mmu03010.pathview.png## 'select()' returned 1:1 mapping between keys and columns## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file mmu04550.pathview.png## 'select()' returned 1:1 mapping between keys and columns## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file mmu04350.pathview.png## 'select()' returned 1:1 mapping between keys and columns## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file mmu04330.pathview.png## 'select()' returned 1:1 mapping between keys and columns## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file mmu04390.pathview.pngWith this code, it pulls various phots from the files and uploads them into knitr.
library(imager)## Loading required package: magrittr##
## Attaching package: 'magrittr'## The following object is masked from 'package:purrr':
##
## set_names## The following object is masked from 'package:tidyr':
##
## extract##
## Attaching package: 'imager'## The following object is masked from 'package:magrittr':
##
## add## The following object is masked from 'package:Biostrings':
##
## width## The following object is masked from 'package:XVector':
##
## width## The following objects are masked from 'package:oligoClasses':
##
## B, B<-## The following objects are masked from 'package:IRanges':
##
## resize, width## The following object is masked from 'package:S4Vectors':
##
## width## The following object is masked from 'package:Biobase':
##
## channel## The following object is masked from 'package:BiocGenerics':
##
## width## The following object is masked from 'package:stringr':
##
## boundary## The following object is masked from 'package:tidyr':
##
## fill## The following objects are masked from 'package:stats':
##
## convolve, spectrum## The following object is masked from 'package:graphics':
##
## frame## The following object is masked from 'package:base':
##
## save.imagefilenames <- list.files(path = "/home/student/Desktop/classroom/myfiles/jmt070", pattern = ".*pathview.png")
all_images <- lapply(filenames, load.image)knitr::include_graphics(filenames)
DESeq
Lets load the required libraries for this analysis.
BiocManager::install("apeglm", update = FALSE)## 'getOption("repos")' replaces Bioconductor standard repositories, see
## '?repositories' for details
##
## replacement repositories:
## CRAN: https://cloud.r-project.org## Bioconductor version 3.14 (BiocManager 1.30.16), R 4.1.3 (2022-03-10)## Warning: package(s) not installed when version(s) same as current; use `force = TRUE` to
## re-install: 'apeglm'library("DESeq2")## Loading required package: GenomicRanges## Loading required package: SummarizedExperiment## Loading required package: MatrixGenerics## Loading required package: matrixStats##
## Attaching package: 'matrixStats'## The following objects are masked from 'package:Biobase':
##
## anyMissing, rowMedians## The following object is masked from 'package:dplyr':
##
## count##
## Attaching package: 'MatrixGenerics'## The following objects are masked from 'package:matrixStats':
##
## colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse,
## colCounts, colCummaxs, colCummins, colCumprods, colCumsums,
## colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
## colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
## colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,
## colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,
## colWeightedMeans, colWeightedMedians, colWeightedSds,
## colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,
## rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
## rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,
## rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
## rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
## rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
## rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
## rowWeightedSds, rowWeightedVars## The following object is masked from 'package:Biobase':
##
## rowMedianslibrary("dplyr")
library("apeglm")Lets load our data.
countData <- read.csv("GLDS-102_rna_seq_Unnormalized_Counts.csv")
colData <- read.csv("PHENO_DATA_Mouse.csv", sep= ",", row.names = 1)Now we need to add leveling factors.
colData$group <- factor(colData$group, levels = c("0", "1"))Now lets make sure we have the same number of individuals as well as groups.
all(rownames(colData)) %in% colnames(countData)## Warning in all(rownames(colData)): coercing argument of type 'character' to
## logical## [1] FALSEWe need to round up the counts, because DESeq2 only allows integers as an input, and not fractional numbers. This Depends on the method of alighment that was used upstream.
countData %>%
mutate_if(is.numeric, ceiling)
countData[, 2:13] <- sapply(countData[,2:13], as.integer)
row.names(countData) <- countData[,1]
countData <- countData[2:13]
all(rownames(colData)) %in% colnames(countData)## Warning in all(rownames(colData)): coercing argument of type 'character' to
## logicalrownames(colData) == colnames(countData)dds <- DESeqDataSetFromMatrix(countData = countData, colData = colData, design = ~group)
dds <- dds[rowSums(counts(dds)>2) >=4]
dds <- DESeq(dds)## estimating size factors## estimating dispersions## gene-wise dispersion estimates## mean-dispersion relationship## final dispersion estimates## fitting model and testingres <- results(dds)resLFC <- lfcShrink(dds, coef= 2)## using 'apeglm' for LFC shrinkage. If used in published research, please cite:
## Zhu, A., Ibrahim, J.G., Love, M.I. (2018) Heavy-tailed prior distributions for
## sequence count data: removing the noise and preserving large differences.
## Bioinformatics. https://doi.org/10.1093/bioinformatics/bty895(resOrdered <- res[order(res$padj), ])## log2 fold change (MLE): group 1 vs 0
## Wald test p-value: group 1 vs 0
## DataFrame with 22008 rows and 6 columns
## baseMean log2FoldChange lfcSE stat pvalue
## <numeric> <numeric> <numeric> <numeric> <numeric>
## ENSMUSG00000002250 1459.223 -0.926292 0.1112628 -8.32526 8.41430e-17
## ENSMUSG00000007872 1719.375 0.818829 0.1122820 7.29261 3.04014e-13
## ENSMUSG00000026077 437.035 -1.191812 0.1655873 -7.19748 6.13338e-13
## ENSMUSG00000040998 14579.593 -0.506307 0.0703771 -7.19421 6.28252e-13
## ENSMUSG00000021775 2804.923 0.842511 0.1233312 6.83129 8.41546e-12
## ... ... ... ... ... ...
## ENSMUSG00000118345 4.22314 -0.12097478 0.599072 -0.20193699 0.839966
## ENSMUSG00000118353 6.60578 0.56456713 0.481195 1.17326031 0.240691
## ENSMUSG00000118358 3.30902 -0.00273584 0.763559 -0.00358301 0.997141
## ENSMUSG00000118369 2.91657 -1.11623145 0.790702 -1.41169702 0.158039
## ENSMUSG00000118384 7.43136 0.23830798 0.489273 0.48706567 0.626212
## padj
## <numeric>
## ENSMUSG00000002250 1.24077e-12
## ENSMUSG00000007872 2.24149e-09
## ENSMUSG00000026077 2.31605e-09
## ENSMUSG00000040998 2.31605e-09
## ENSMUSG00000021775 2.48189e-08
## ... ...
## ENSMUSG00000118345 NA
## ENSMUSG00000118353 NA
## ENSMUSG00000118358 NA
## ENSMUSG00000118369 NA
## ENSMUSG00000118384 NAsummary(res)##
## out of 22008 with nonzero total read count
## adjusted p-value < 0.1
## LFC > 0 (up) : 325, 1.5%
## LFC < 0 (down) : 327, 1.5%
## outliers [1] : 15, 0.068%
## low counts [2] : 7247, 33%
## (mean count < 38)
## [1] see 'cooksCutoff' argument of ?results
## [2] see 'independentFiltering' argument of ?resultsFLT_Vs_GC <- as.data.frame(res$log2FoldChange)
head(FLT_Vs_GC)## res$log2FoldChange
## 1 0.0421
## 2 -0.1334
## 3 -0.0185
## 4 -0.0882
## 5 -0.0079
## 6 0.1136plotMA(resLFC, ylim = c(-2,2))
pdf(file = "MA_Plot_FLT_GC.pdf")
dev.off()## png
## 2Lets save our differential expression results to file.
write.csv(as.data.frame(resOrdered), file = "Mouse_DESeq.csv")Lets perform a custom transformation.
dds <- estimateSizeFactors(dds)
se <- SummarizedExperiment(log2(counts(dds, normalize = TRUE) +1), colData = colData(dds))
pdf(file = "PCA_PLOT_FLT_vs_GC.pdf")
plotPCA(DESeqTransform(se), intgroup = "group")Lets load our required packages.
library(AnnotationDbi)
library(org.Mm.eg.db)columns(org.Mm.eg.db)## [1] "ACCNUM" "ALIAS" "ENSEMBL" "ENSEMBLPROT" "ENSEMBLTRANS"
## [6] "ENTREZID" "ENZYME" "EVIDENCE" "EVIDENCEALL" "GENENAME"
## [11] "GENETYPE" "GO" "GOALL" "IPI" "MGI"
## [16] "ONTOLOGY" "ONTOLOGYALL" "PATH" "PFAM" "PMID"
## [21] "PROSITE" "REFSEQ" "SYMBOL" "UNIPROT"foldchanges <- as.data.frame(res$log2FoldChange, row.names = row.names(res))
head(foldchanges)## res$log2FoldChange
## ENSMUSG00000000001 0.0421
## ENSMUSG00000000028 -0.1334
## ENSMUSG00000000031 -0.0185
## ENSMUSG00000000037 -0.0882
## ENSMUSG00000000049 -0.0079
## ENSMUSG00000000056 0.1136res$symbol = mapIds(org.Mm.eg.db,
keys = row.names(res),
column = "SYMBOL",
keytype = "ENSEMBL",
multivals = "first")## 'select()' returned 1:many mapping between keys and columnsres$entrez = mapIds(org.Mm.eg.db,
keys = row.names(res),
column = "ENTREZID",
keytype = "ENSEMBL",
multivals = "first")## 'select()' returned 1:many mapping between keys and columnsres$name = mapIds(org.Mm.eg.db,
keys = row.names(res),
column = "GENENAME",
keytype = "ENSEMBL",
multivals = "first")## 'select()' returned 1:many mapping between keys and columnshead(res, 10)## log2 fold change (MLE): group 1 vs 0
## Wald test p-value: group 1 vs 0
## DataFrame with 10 rows and 9 columns
## baseMean log2FoldChange lfcSE stat pvalue
## <numeric> <numeric> <numeric> <numeric> <numeric>
## ENSMUSG00000000001 3132.35128 0.04214340 0.0436714 0.9650117 0.334539
## ENSMUSG00000000028 68.75801 -0.13342706 0.1565936 -0.8520597 0.394181
## ENSMUSG00000000031 21.05397 -0.01853142 0.2486477 -0.0745288 0.940590
## ENSMUSG00000000037 24.42314 -0.08817270 0.2982220 -0.2956613 0.767489
## ENSMUSG00000000049 3.24919 -0.00790342 0.9613572 -0.0082211 0.993441
## ENSMUSG00000000056 1424.88216 0.11355979 0.0777635 1.4603234 0.144201
## ENSMUSG00000000058 1420.78992 -0.03893850 0.0850602 -0.4577759 0.647113
## ENSMUSG00000000078 2254.53129 -0.07540275 0.0874314 -0.8624214 0.388456
## ENSMUSG00000000085 822.68179 0.04586772 0.0584699 0.7844667 0.432766
## ENSMUSG00000000088 5946.81754 -0.05461549 0.0691178 -0.7901795 0.429423
## padj symbol entrez name
## <numeric> <character> <character> <character>
## ENSMUSG00000000001 0.739637 Gnai3 14679 guanine nucleotide b..
## ENSMUSG00000000028 0.777085 Cdc45 12544 cell division cycle 45
## ENSMUSG00000000031 NA H19 14955 H19, imprinted mater..
## ENSMUSG00000000037 NA Scml2 107815 Scm polycomb group p..
## ENSMUSG00000000049 NA Apoh 11818 apolipoprotein H
## ENSMUSG00000000056 0.547527 Narf 67608 nuclear prelamin A r..
## ENSMUSG00000000058 0.901904 Cav2 12390 caveolin 2
## ENSMUSG00000000078 0.774294 Klf6 23849 Kruppel-like factor 6
## ENSMUSG00000000085 0.800018 Scmh1 29871 sex comb on midleg h..
## ENSMUSG00000000088 0.798420 Cox5a 12858 cytochrome c oxidase..Lets load our pathview packages.
library(pathview)
library(gage)
library(gageData)
data(kegg.sets.mm)
data(go.subs.mm)
foldchanges <- res$log2FoldChange
names(foldchanges) = res$entrez
head(foldchanges)## 14679 12544 14955 107815 11818 67608
## 0.0421 -0.1334 -0.0185 -0.0882 -0.0079 0.1136kegg.mm <- kegg.gsets("mouse", id.type = "entrez")
kegg.mm.sigmet <- kegg.mm$kg.sets[kegg.mm$sigmet.idx]lets map the results.
keggres <- gage(foldchanges, gsets = kegg.mm.sigmet, same.dir = TRUE)
lapply(keggres, head)## $greater
## p.geomean stat.mean p.val q.val
## mmu03010 Ribosome 0.0056 2.6 0.0056 0.9
## mmu04022 cGMP-PKG signaling pathway 0.0309 1.9 0.0309 0.9
## mmu04360 Axon guidance 0.0382 1.8 0.0382 0.9
## mmu04330 Notch signaling pathway 0.0518 1.6 0.0518 0.9
## mmu04658 Th1 and Th2 cell differentiation 0.0538 1.6 0.0538 0.9
## mmu04350 TGF-beta signaling pathway 0.0544 1.6 0.0544 0.9
## set.size exp1
## mmu03010 Ribosome 133 0.0056
## mmu04022 cGMP-PKG signaling pathway 153 0.0309
## mmu04360 Axon guidance 176 0.0382
## mmu04330 Notch signaling pathway 55 0.0518
## mmu04658 Th1 and Th2 cell differentiation 78 0.0538
## mmu04350 TGF-beta signaling pathway 87 0.0544
##
## $less
## p.geomean stat.mean p.val
## mmu04657 IL-17 signaling pathway 0.011 -2.3 0.011
## mmu04110 Cell cycle 0.020 -2.1 0.020
## mmu04145 Phagosome 0.027 -1.9 0.027
## mmu04621 NOD-like receptor signaling pathway 0.042 -1.7 0.042
## mmu04625 C-type lectin receptor signaling pathway 0.044 -1.7 0.044
## mmu04115 p53 signaling pathway 0.048 -1.7 0.048
## q.val set.size exp1
## mmu04657 IL-17 signaling pathway 0.9 75 0.011
## mmu04110 Cell cycle 0.9 121 0.020
## mmu04145 Phagosome 0.9 145 0.027
## mmu04621 NOD-like receptor signaling pathway 0.9 151 0.042
## mmu04625 C-type lectin receptor signaling pathway 0.9 99 0.044
## mmu04115 p53 signaling pathway 0.9 71 0.048
##
## $stats
## stat.mean exp1
## mmu03010 Ribosome 2.6 2.6
## mmu04022 cGMP-PKG signaling pathway 1.9 1.9
## mmu04360 Axon guidance 1.8 1.8
## mmu04330 Notch signaling pathway 1.6 1.6
## mmu04658 Th1 and Th2 cell differentiation 1.6 1.6
## mmu04350 TGF-beta signaling pathway 1.6 1.6Lets save our greater and less than pathways.
greaters <- keggres$greater
lessers <- keggres$lesskeggrespathways <- data.frame(id = rownames(keggres$greater), keggres$greater) %>%
tbl_df() %>%
filter(row_number() <= 3) %>%
.$id %>%
as.character()
keggrespathways## [1] "mmu03010 Ribosome" "mmu04022 cGMP-PKG signaling pathway"
## [3] "mmu04360 Axon guidance"keggresids <- substr(keggrespathways, start = 1, stop = 8)
keggresids## [1] "mmu03010" "mmu04022" "mmu04360"Plot the data.
plot_pathway = function(pid) pathview(gene.data = foldchange, pathway.id = pid, species = "mouse", new.signature = FALSE)
tmp = sapply(keggresids, function(pid) pathview(gene.data = foldchanges, pathway.id = pid, species = "mouse"))## 'select()' returned 1:1 mapping between keys and columns## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file mmu03010.pathview.png## 'select()' returned 1:1 mapping between keys and columns## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file mmu04022.pathview.png## 'select()' returned 1:1 mapping between keys and columns## Info: Working in directory /home/student/Desktop/classroom/myfiles/jmt070## Info: Writing image file mmu04360.pathview.pnglibrary(imager)
filenames <- list.files(path = "/home/student/Desktop/classroom/myfiles/jmt070", pattern = ".*pathview.png")
all_images <- lapply(filenames, load.image)knitr::include_graphics(filenames)
EdgeR vs DESeq
Let’s load in Tidyvers
library(tidyverse)Here we create two seperate data showing the differences between the two.
EdgeR <- read.csv("Mouse_Edger_results_Zero_vs_1.csv")
DESeq <- read.csv("Mouse_DESeq.csv")
DESeq2 <- DESeq %>%
filter(padj < 0.1)
DESeq2 <- DESeq2[,c(1,3)]
EdgeR <- EdgeR[, 1:2]
colnames(DESeq2) <- c("ID", "logFC")
colnames(EdgeR) <- c("ID", "logFC")We will now load in a new package.
library(GOplot)## Loading required package: ggdendro##
## Attaching package: 'ggdendro'## The following object is masked from 'package:imager':
##
## label## Loading required package: gridExtra##
## Attaching package: 'gridExtra'## The following object is masked from 'package:Biobase':
##
## combine## The following object is masked from 'package:BiocGenerics':
##
## combine## The following object is masked from 'package:dplyr':
##
## combine## Loading required package: RColorBrewerThis plot/table will show the differences.
comp <- GOVenn(DESeq2, EdgeR, label = c("DESeq2", "EdgeR"), title = "Comparison of DESeq and EdgeR DE Genes", plot = FALSE)
comp$plot
comp$table## $A_only
## logFC Trend
## ENSMUSG00000074261 -0.373 DOWN
## ENSMUSG00000022580 -0.340 DOWN
## ENSMUSG00000006517 -0.361 DOWN
## ENSMUSG00000038375 -0.311 DOWN
## ENSMUSG00000020326 -0.348 DOWN
## ENSMUSG00000032374 -0.331 DOWN
## ENSMUSG00000014158 -0.245 DOWN
## ENSMUSG00000021364 -0.354 DOWN
## ENSMUSG00000026179 -0.277 DOWN
## ENSMUSG00000032420 -0.388 DOWN
## ENSMUSG00000037455 -0.319 DOWN
## ENSMUSG00000020232 -0.214 DOWN
## ENSMUSG00000023367 -0.222 DOWN
## ENSMUSG00000079465 -0.348 DOWN
## ENSMUSG00000000253 -0.360 DOWN
## ENSMUSG00000041605 -0.509 DOWN
## ENSMUSG00000032911 -0.253 DOWN
## ENSMUSG00000022763 -0.463 DOWN
## ENSMUSG00000028357 -0.374 DOWN
## ENSMUSG00000069565 -0.233 DOWN
## ENSMUSG00000059743 -0.421 DOWN
## ENSMUSG00000090236 -0.359 DOWN
## ENSMUSG00000021185 -0.374 DOWN
## ENSMUSG00000029763 -0.322 DOWN
## ENSMUSG00000040263 -0.267 DOWN
## ENSMUSG00000039047 -0.200 DOWN
## ENSMUSG00000023938 -0.298 DOWN
## ENSMUSG00000022797 -0.759 DOWN
## ENSMUSG00000048707 -0.256 DOWN
## ENSMUSG00000024958 -0.216 DOWN
## ENSMUSG00000039062 -0.374 DOWN
## ENSMUSG00000022351 -0.374 DOWN
## ENSMUSG00000053414 -0.423 DOWN
## ENSMUSG00000035910 -0.465 DOWN
## ENSMUSG00000046079 -0.230 DOWN
## ENSMUSG00000039834 -0.209 DOWN
## ENSMUSG00000010663 -0.377 DOWN
## ENSMUSG00000024064 -0.322 DOWN
## ENSMUSG00000028919 -0.422 DOWN
## ENSMUSG00000017428 -0.192 DOWN
## ENSMUSG00000036752 -0.490 DOWN
## ENSMUSG00000063694 -0.346 DOWN
## ENSMUSG00000040188 -0.182 DOWN
## ENSMUSG00000026399 -0.463 DOWN
## ENSMUSG00000000594 -0.353 DOWN
## ENSMUSG00000001473 -0.520 DOWN
## ENSMUSG00000029032 -0.173 DOWN
## ENSMUSG00000034457 -0.656 DOWN
## ENSMUSG00000038704 -0.442 DOWN
## ENSMUSG00000004565 -0.185 DOWN
## ENSMUSG00000020381 -0.355 DOWN
## ENSMUSG00000041889 -0.407 DOWN
## ENSMUSG00000023259 -0.549 DOWN
## ENSMUSG00000031349 -0.387 DOWN
## ENSMUSG00000062203 -0.169 DOWN
## ENSMUSG00000025735 -0.547 DOWN
## ENSMUSG00000028545 -0.349 DOWN
## ENSMUSG00000058454 -0.322 DOWN
## ENSMUSG00000066441 -0.206 DOWN
## ENSMUSG00000022540 -0.222 DOWN
## ENSMUSG00000045136 -0.528 DOWN
## ENSMUSG00000041939 -0.369 DOWN
## ENSMUSG00000035561 -0.629 DOWN
## ENSMUSG00000038023 -0.162 DOWN
## ENSMUSG00000101249 -0.424 DOWN
## ENSMUSG00000032370 -0.277 DOWN
## ENSMUSG00000004266 -0.241 DOWN
## ENSMUSG00000001627 -0.368 DOWN
## ENSMUSG00000029810 -0.212 DOWN
## ENSMUSG00000024579 -0.339 DOWN
## ENSMUSG00000030739 -0.257 DOWN
## ENSMUSG00000011382 -0.289 DOWN
## ENSMUSG00000032306 -0.197 DOWN
## ENSMUSG00000031960 -0.232 DOWN
## ENSMUSG00000022512 -0.313 DOWN
## ENSMUSG00000037243 -0.384 DOWN
## ENSMUSG00000028041 -0.228 DOWN
## ENSMUSG00000026202 -0.476 DOWN
## ENSMUSG00000026307 -0.180 DOWN
## ENSMUSG00000029580 -0.225 DOWN
## ENSMUSG00000033107 -0.465 DOWN
## ENSMUSG00000112324 -1.178 DOWN
## ENSMUSG00000020744 -0.239 DOWN
## ENSMUSG00000055745 -0.330 DOWN
## ENSMUSG00000041959 -0.302 DOWN
## ENSMUSG00000036957 -0.236 DOWN
## ENSMUSG00000021697 -0.244 DOWN
## ENSMUSG00000037894 -0.149 DOWN
## ENSMUSG00000021792 -0.271 DOWN
## ENSMUSG00000037347 -0.583 DOWN
## ENSMUSG00000020877 -0.305 DOWN
## ENSMUSG00000058258 -0.501 DOWN
## ENSMUSG00000087574 -0.525 DOWN
## ENSMUSG00000030512 -0.297 DOWN
## ENSMUSG00000006800 -0.384 DOWN
## ENSMUSG00000058672 -0.486 DOWN
## ENSMUSG00000027412 -0.238 DOWN
## ENSMUSG00000031161 -0.193 DOWN
## ENSMUSG00000020538 -0.338 DOWN
## ENSMUSG00000027429 -0.197 DOWN
## ENSMUSG00000045594 -0.322 DOWN
## ENSMUSG00000018171 -0.210 DOWN
## ENSMUSG00000032349 -0.205 DOWN
## ENSMUSG00000015094 -0.274 DOWN
## ENSMUSG00000028538 -0.214 DOWN
## ENSMUSG00000029616 -0.170 DOWN
## ENSMUSG00000019797 -0.260 DOWN
## ENSMUSG00000095193 -0.465 DOWN
## ENSMUSG00000068876 -0.369 DOWN
## ENSMUSG00000024866 -0.455 DOWN
## ENSMUSG00000026784 -0.337 DOWN
## ENSMUSG00000057363 -0.230 DOWN
## ENSMUSG00000064367 -0.397 DOWN
## ENSMUSG00000024319 -0.161 DOWN
## ENSMUSG00000030137 -0.733 DOWN
## ENSMUSG00000030538 -0.210 DOWN
## ENSMUSG00000031725 -0.627 DOWN
## ENSMUSG00000032978 -0.412 DOWN
## ENSMUSG00000069633 -0.241 DOWN
## ENSMUSG00000067158 -0.167 DOWN
## ENSMUSG00000024772 -0.214 DOWN
## ENSMUSG00000031958 -0.326 DOWN
## ENSMUSG00000064341 -0.427 DOWN
## ENSMUSG00000024993 -0.240 DOWN
## ENSMUSG00000074170 -0.323 DOWN
## ENSMUSG00000034858 -0.241 DOWN
## ENSMUSG00000036040 -0.449 DOWN
## ENSMUSG00000063229 -0.274 DOWN
## ENSMUSG00000027490 -0.501 DOWN
## ENSMUSG00000047735 -0.296 DOWN
## ENSMUSG00000011752 -0.216 DOWN
## ENSMUSG00000034714 -0.251 DOWN
## ENSMUSG00000034613 -0.198 DOWN
## ENSMUSG00000032452 -0.366 DOWN
## ENSMUSG00000038775 -0.428 DOWN
## ENSMUSG00000045294 -0.410 DOWN
## ENSMUSG00000084128 -0.205 DOWN
## ENSMUSG00000037686 -0.488 DOWN
## ENSMUSG00000014245 -0.343 DOWN
## ENSMUSG00000029093 -0.702 DOWN
## ENSMUSG00000024736 -0.295 DOWN
## ENSMUSG00000028937 -0.460 DOWN
## ENSMUSG00000096795 -0.429 DOWN
## ENSMUSG00000051518 -0.238 DOWN
## ENSMUSG00000000934 -0.210 DOWN
## ENSMUSG00000030880 -0.374 DOWN
## ENSMUSG00000025726 -0.471 DOWN
## ENSMUSG00000052117 -0.383 DOWN
## ENSMUSG00000006342 -0.322 DOWN
## ENSMUSG00000062825 -0.214 DOWN
## ENSMUSG00000041733 -0.164 DOWN
## ENSMUSG00000028780 -0.390 DOWN
## ENSMUSG00000024665 -0.283 DOWN
## ENSMUSG00000025317 -0.452 DOWN
## ENSMUSG00000020142 -0.513 DOWN
## ENSMUSG00000082016 -0.500 DOWN
## ENSMUSG00000034371 -0.356 DOWN
## ENSMUSG00000032492 -0.239 DOWN
## ENSMUSG00000110755 -0.855 DOWN
## ENSMUSG00000064254 -0.353 DOWN
## ENSMUSG00000035845 -0.230 DOWN
## ENSMUSG00000017210 -0.184 DOWN
## ENSMUSG00000023832 -0.242 DOWN
## ENSMUSG00000037999 -0.136 DOWN
## ENSMUSG00000068220 -0.327 DOWN
## ENSMUSG00000064345 -0.470 DOWN
## ENSMUSG00000109532 -0.468 DOWN
## ENSMUSG00000024503 -0.299 DOWN
## ENSMUSG00000004843 -0.193 DOWN
## ENSMUSG00000030298 -0.187 DOWN
## ENSMUSG00000048578 -0.185 DOWN
## ENSMUSG00000085042 -0.537 DOWN
## ENSMUSG00000016942 -0.573 DOWN
## ENSMUSG00000020116 -0.221 DOWN
## ENSMUSG00000028989 -0.830 DOWN
## ENSMUSG00000045328 -0.675 DOWN
## ENSMUSG00000022012 -0.602 DOWN
## ENSMUSG00000030111 -0.899 DOWN
## ENSMUSG00000046070 -0.498 DOWN
## ENSMUSG00000070283 -0.218 DOWN
## ENSMUSG00000015357 -0.250 DOWN
## ENSMUSG00000023004 -0.286 DOWN
## ENSMUSG00000026627 -0.314 DOWN
## ENSMUSG00000031604 -0.471 DOWN
## ENSMUSG00000032515 -0.308 DOWN
## ENSMUSG00000067924 -0.224 DOWN
## ENSMUSG00000037263 -0.843 DOWN
## ENSMUSG00000027230 -0.362 DOWN
## ENSMUSG00000110663 -0.548 DOWN
## ENSMUSG00000026042 -0.492 DOWN
## ENSMUSG00000024818 -0.340 DOWN
## ENSMUSG00000028063 -0.176 DOWN
## ENSMUSG00000002393 -0.151 DOWN
## ENSMUSG00000029304 -0.304 DOWN
## ENSMUSG00000063897 -0.232 DOWN
## ENSMUSG00000047281 -0.292 DOWN
## ENSMUSG00000020827 -0.092 DOWN
## ENSMUSG00000057103 -0.272 DOWN
## ENSMUSG00000035863 -0.136 DOWN
## ENSMUSG00000038217 -0.427 DOWN
## ENSMUSG00000021414 -0.467 DOWN
## ENSMUSG00000029394 -0.155 DOWN
## ENSMUSG00000025203 -0.440 DOWN
## ENSMUSG00000022021 -0.747 DOWN
## ENSMUSG00000021666 -0.172 DOWN
## ENSMUSG00000023153 -0.476 DOWN
## ENSMUSG00000032269 -0.487 DOWN
## ENSMUSG00000029701 -0.155 DOWN
## ENSMUSG00000044786 -0.441 DOWN
## ENSMUSG00000037470 -0.128 DOWN
## ENSMUSG00000003813 -0.177 DOWN
## ENSMUSG00000073405 -0.630 DOWN
## ENSMUSG00000022893 -0.270 DOWN
## ENSMUSG00000040694 -0.480 DOWN
## ENSMUSG00000078695 -0.226 DOWN
## ENSMUSG00000079261 -0.517 DOWN
## ENSMUSG00000022033 -0.717 DOWN
## ENSMUSG00000037169 -0.428 DOWN
## ENSMUSG00000031781 -0.220 DOWN
## ENSMUSG00000033538 -0.611 DOWN
## ENSMUSG00000058569 -0.131 DOWN
## ENSMUSG00000024683 -0.174 DOWN
## ENSMUSG00000027327 -0.296 DOWN
## ENSMUSG00000046999 -0.821 DOWN
## ENSMUSG00000036002 -0.179 DOWN
## ENSMUSG00000048277 -0.161 DOWN
## ENSMUSG00000039254 -0.171 DOWN
## ENSMUSG00000074890 -0.265 DOWN
## ENSMUSG00000020898 -0.176 DOWN
## ENSMUSG00000045725 -0.348 DOWN
## ENSMUSG00000069302 -0.826 DOWN
## ENSMUSG00000020917 -0.414 DOWN
## ENSMUSG00000025762 -0.150 DOWN
## ENSMUSG00000051397 -0.602 DOWN
## ENSMUSG00000071076 -0.329 DOWN
## ENSMUSG00000020062 -0.557 DOWN
## ENSMUSG00000027610 -0.208 DOWN
## ENSMUSG00000046603 -0.150 DOWN
## ENSMUSG00000026249 -0.398 DOWN
## ENSMUSG00000062248 -0.403 DOWN
## ENSMUSG00000067144 -0.584 DOWN
## ENSMUSG00000018427 -0.298 DOWN
## ENSMUSG00000029161 -0.316 DOWN
## ENSMUSG00000054951 -0.420 DOWN
## ENSMUSG00000026201 -0.168 DOWN
## ENSMUSG00000028001 -0.429 DOWN
## ENSMUSG00000055725 -0.339 DOWN
## ENSMUSG00000036452 -0.209 DOWN
## ENSMUSG00000038527 -0.278 DOWN
## ENSMUSG00000028042 -0.182 DOWN
## ENSMUSG00000056608 -0.362 DOWN
## ENSMUSG00000005667 -0.619 DOWN
## ENSMUSG00000037386 -0.407 DOWN
## ENSMUSG00000037725 -0.819 DOWN
## ENSMUSG00000047986 -0.327 DOWN
## ENSMUSG00000029771 -0.386 DOWN
## ENSMUSG00000032902 -0.548 DOWN
## ENSMUSG00000030805 -0.154 DOWN
## ENSMUSG00000102070 -0.342 DOWN
## ENSMUSG00000048911 -0.636 DOWN
## ENSMUSG00000020307 -0.208 DOWN
## ENSMUSG00000028327 -0.429 DOWN
## ENSMUSG00000061474 -0.216 DOWN
## ENSMUSG00000031776 -0.133 DOWN
## ENSMUSG00000023048 -0.185 DOWN
## ENSMUSG00000028834 -0.453 DOWN
## ENSMUSG00000032786 -0.342 DOWN
## ENSMUSG00000020571 -0.189 DOWN
## ENSMUSG00000026036 -0.183 DOWN
## ENSMUSG00000037103 -0.234 DOWN
## ENSMUSG00000032806 -0.215 DOWN
## ENSMUSG00000032115 -0.226 DOWN
## ENSMUSG00000026914 -0.188 DOWN
## ENSMUSG00000017221 -0.154 DOWN
## ENSMUSG00000093930 -0.256 DOWN
## ENSMUSG00000020775 -0.193 DOWN
## ENSMUSG00000015085 -0.277 DOWN
## ENSMUSG00000007783 -0.681 DOWN
## ENSMUSG00000040688 -0.163 DOWN
## ENSMUSG00000053291 -0.219 DOWN
## ENSMUSG00000027496 -0.549 DOWN
## ENSMUSG00000033031 -0.563 DOWN
## ENSMUSG00000030122 -0.203 DOWN
## ENSMUSG00000030340 -0.153 DOWN
## ENSMUSG00000045438 -0.171 DOWN
## ENSMUSG00000083287 -0.702 DOWN
## ENSMUSG00000110195 0.323 UP
## ENSMUSG00000025019 0.255 UP
## ENSMUSG00000025815 0.590 UP
## ENSMUSG00000017776 0.143 UP
## ENSMUSG00000006127 0.237 UP
## ENSMUSG00000050310 0.157 UP
## ENSMUSG00000054793 0.220 UP
## ENSMUSG00000039068 0.166 UP
## ENSMUSG00000021540 0.170 UP
## ENSMUSG00000032097 0.198 UP
## ENSMUSG00000025764 0.226 UP
## ENSMUSG00000031393 0.166 UP
## ENSMUSG00000042046 0.199 UP
## ENSMUSG00000036550 0.122 UP
## ENSMUSG00000020257 0.165 UP
## ENSMUSG00000028081 0.229 UP
## ENSMUSG00000032594 0.179 UP
## ENSMUSG00000001280 0.170 UP
## ENSMUSG00000022604 0.245 UP
## ENSMUSG00000034111 0.211 UP
## ENSMUSG00000023022 0.230 UP
## ENSMUSG00000028053 0.129 UP
## ENSMUSG00000030213 0.228 UP
## ENSMUSG00000060657 0.171 UP
## ENSMUSG00000027351 0.201 UP
## ENSMUSG00000032624 0.217 UP
## ENSMUSG00000061143 0.278 UP
## ENSMUSG00000037172 0.219 UP
## ENSMUSG00000064065 0.265 UP
## ENSMUSG00000071415 0.194 UP
## ENSMUSG00000098557 0.278 UP
## ENSMUSG00000041530 0.142 UP
## ENSMUSG00000031216 0.185 UP
## ENSMUSG00000025223 0.199 UP
## ENSMUSG00000032086 0.160 UP
## ENSMUSG00000037523 0.178 UP
## ENSMUSG00000050812 0.123 UP
## ENSMUSG00000038290 0.181 UP
## ENSMUSG00000054499 0.265 UP
## ENSMUSG00000038766 0.194 UP
## ENSMUSG00000050947 0.195 UP
## ENSMUSG00000005034 0.152 UP
## ENSMUSG00000044026 0.233 UP
## ENSMUSG00000045098 0.167 UP
## ENSMUSG00000006269 0.194 UP
## ENSMUSG00000026918 0.151 UP
## ENSMUSG00000037003 0.254 UP
## ENSMUSG00000074748 0.135 UP
## ENSMUSG00000012848 0.215 UP
## ENSMUSG00000097412 0.362 UP
## ENSMUSG00000031729 0.136 UP
## ENSMUSG00000027519 0.127 UP
## ENSMUSG00000021669 0.173 UP
## ENSMUSG00000051817 0.205 UP
## ENSMUSG00000008682 0.239 UP
## ENSMUSG00000043090 0.246 UP
## ENSMUSG00000037029 0.161 UP
## ENSMUSG00000027395 0.233 UP
## ENSMUSG00000035469 0.190 UP
## ENSMUSG00000021488 0.140 UP
## ENSMUSG00000058600 0.191 UP
## ENSMUSG00000030201 0.256 UP
## ENSMUSG00000073678 0.238 UP
## ENSMUSG00000020372 0.200 UP
## ENSMUSG00000041378 0.247 UP
## ENSMUSG00000046947 0.230 UP
## ENSMUSG00000058793 0.158 UP
## ENSMUSG00000037369 0.169 UP
## ENSMUSG00000021482 0.221 UP
## ENSMUSG00000035247 0.144 UP
## ENSMUSG00000026436 0.151 UP
## ENSMUSG00000046897 0.138 UP
## ENSMUSG00000057133 0.152 UP
## ENSMUSG00000027680 0.155 UP
## ENSMUSG00000043991 0.143 UP
## ENSMUSG00000034189 0.223 UP
## ENSMUSG00000018076 0.140 UP
## ENSMUSG00000029714 0.204 UP
## ENSMUSG00000052446 0.213 UP
## ENSMUSG00000000901 0.460 UP
## ENSMUSG00000040209 0.149 UP
## ENSMUSG00000021140 0.140 UP
## ENSMUSG00000015942 0.281 UP
## ENSMUSG00000043241 0.154 UP
## ENSMUSG00000056851 0.178 UP
## ENSMUSG00000017897 0.479 UP
## ENSMUSG00000022353 0.170 UP
## ENSMUSG00000005893 0.127 UP
## ENSMUSG00000044791 0.108 UP
## ENSMUSG00000070348 0.321 UP
## ENSMUSG00000009927 0.156 UP
## ENSMUSG00000034156 0.304 UP
## ENSMUSG00000037736 0.156 UP
## ENSMUSG00000059486 0.191 UP
## ENSMUSG00000040865 0.146 UP
## ENSMUSG00000035666 0.183 UP
## ENSMUSG00000029647 0.151 UP
## ENSMUSG00000038486 0.223 UP
## ENSMUSG00000025927 0.260 UP
## ENSMUSG00000022415 0.260 UP
## ENSMUSG00000092558 0.233 UP
## ENSMUSG00000014195 0.132 UP
## ENSMUSG00000019866 0.168 UP
## ENSMUSG00000078202 0.238 UP
## ENSMUSG00000035495 0.162 UP
## ENSMUSG00000044674 0.147 UP
## ENSMUSG00000102869 0.133 UP
## ENSMUSG00000026923 0.238 UP
## ENSMUSG00000039831 0.189 UP
## ENSMUSG00000020642 0.304 UP
## ENSMUSG00000037503 0.132 UP
## ENSMUSG00000041841 0.250 UP
## ENSMUSG00000043716 0.155 UP
## ENSMUSG00000035530 0.204 UP
## ENSMUSG00000037822 0.123 UP
## ENSMUSG00000035413 0.280 UP
## ENSMUSG00000021395 0.145 UP
## ENSMUSG00000036097 0.170 UP
## ENSMUSG00000034297 0.142 UP
## ENSMUSG00000037742 0.183 UP
## ENSMUSG00000031841 0.367 UP
## ENSMUSG00000069495 0.177 UP
## ENSMUSG00000021661 0.236 UP
## ENSMUSG00000021959 0.201 UP
## ENSMUSG00000002265 0.343 UP
## ENSMUSG00000067586 0.358 UP
## ENSMUSG00000020594 0.133 UP
## ENSMUSG00000027079 0.245 UP
## ENSMUSG00000091811 0.293 UP
## ENSMUSG00000066415 0.147 UP
## ENSMUSG00000027524 0.334 UP
## ENSMUSG00000008683 0.179 UP
## ENSMUSG00000066235 0.238 UP
## ENSMUSG00000099689 0.326 UP
## ENSMUSG00000074994 0.154 UP
## ENSMUSG00000005698 0.136 UP
## ENSMUSG00000020357 0.220 UP
## ENSMUSG00000051864 0.167 UP
## ENSMUSG00000033857 0.262 UP
## ENSMUSG00000027678 0.141 UP
## ENSMUSG00000028522 0.191 UP
## ENSMUSG00000038677 0.256 UP
## ENSMUSG00000031365 0.243 UP
## ENSMUSG00000079215 0.136 UP
## ENSMUSG00000008435 0.196 UP
## ENSMUSG00000022791 0.185 UP
## ENSMUSG00000035284 0.150 UP
## ENSMUSG00000071660 0.149 UP
## ENSMUSG00000031209 0.180 UP
## ENSMUSG00000043384 0.177 UP
## ENSMUSG00000062519 0.203 UP
## ENSMUSG00000046792 0.154 UP
## ENSMUSG00000060036 0.183 UP
## ENSMUSG00000006333 0.188 UP
## ENSMUSG00000027799 0.128 UP
## ENSMUSG00000070280 1.104 UP
## ENSMUSG00000039086 0.302 UP
## ENSMUSG00000010721 0.279 UP
## ENSMUSG00000026694 0.224 UP
## ENSMUSG00000090958 0.260 UP
## ENSMUSG00000041329 0.340 UP
## ENSMUSG00000024431 0.155 UP
## ENSMUSG00000028970 0.653 UP
## ENSMUSG00000044617 0.169 UP
## ENSMUSG00000053110 0.113 UP
## ENSMUSG00000033721 0.194 UP
## ENSMUSG00000033237 0.125 UP
## ENSMUSG00000026782 0.154 UP
## ENSMUSG00000047878 0.247 UP
## ENSMUSG00000020716 0.107 UP
## ENSMUSG00000026313 0.154 UP
## ENSMUSG00000028869 0.157 UP
## ENSMUSG00000040123 0.176 UP
## ENSMUSG00000023279 0.660 UP
## ENSMUSG00000031618 0.182 UP
## ENSMUSG00000046480 0.153 UP
## ENSMUSG00000053604 0.222 UP
## ENSMUSG00000019817 0.216 UP
## ENSMUSG00000063317 0.192 UP
## ENSMUSG00000027782 0.169 UP
## ENSMUSG00000003970 0.175 UP
## ENSMUSG00000020448 0.156 UP
## ENSMUSG00000075592 0.209 UP
## ENSMUSG00000005886 0.114 UP
## ENSMUSG00000039108 0.159 UP
## ENSMUSG00000097119 0.186 UP
## ENSMUSG00000049739 0.148 UP
## ENSMUSG00000033671 0.132 UP
## ENSMUSG00000036197 0.155 UP
## ENSMUSG00000048379 0.183 UP
## ENSMUSG00000047215 0.212 UP
## ENSMUSG00000039315 0.549 UP
## ENSMUSG00000033943 0.124 UP
## ENSMUSG00000017418 0.178 UP
## ENSMUSG00000041037 0.153 UP
## ENSMUSG00000048696 0.292 UP
## ENSMUSG00000039801 0.137 UP
## ENSMUSG00000060938 0.154 UP
## ENSMUSG00000049800 0.175 UP
## ENSMUSG00000013921 0.359 UP
## ENSMUSG00000031169 0.321 UP
## ENSMUSG00000106062 0.642 UP
## ENSMUSG00000061477 0.156 UP
## ENSMUSG00000017405 0.225 UP
## ENSMUSG00000034647 0.187 UP
## ENSMUSG00000095597 0.398 UP
## ENSMUSG00000048170 0.119 UP
## ENSMUSG00000038437 0.144 UP
## ENSMUSG00000043929 0.200 UP
## ENSMUSG00000052751 0.127 UP
## ENSMUSG00000038481 0.163 UP
## ENSMUSG00000090083 0.190 UP
## ENSMUSG00000034893 0.133 UP
## ENSMUSG00000069682 0.295 UP
## ENSMUSG00000025571 0.170 UP
## ENSMUSG00000040481 0.137 UP
## ENSMUSG00000009470 0.137 UP
## ENSMUSG00000038056 0.107 UP
## ENSMUSG00000020491 0.286 UP
## ENSMUSG00000038544 0.226 UP
## ENSMUSG00000015290 0.124 UP
## ENSMUSG00000017667 0.232 UP
## ENSMUSG00000037712 0.152 UP
## ENSMUSG00000031754 0.152 UP
## ENSMUSG00000039377 0.409 UP
## ENSMUSG00000065954 0.130 UP
## ENSMUSG00000021180 0.252 UP
## ENSMUSG00000021144 0.123 UP
## ENSMUSG00000032892 0.266 UP
## ENSMUSG00000047632 0.361 UP
## ENSMUSG00000036990 0.138 UP
## ENSMUSG00000025997 0.165 UP
## ENSMUSG00000040363 0.197 UP
## ENSMUSG00000025195 0.133 UP
## ENSMUSG00000025197 0.284 UP
## ENSMUSG00000018736 0.156 UP
## ENSMUSG00000002748 0.160 UP
## ENSMUSG00000062866 0.139 UP
## ENSMUSG00000047888 0.157 UP
## ENSMUSG00000041351 0.406 UP
## ENSMUSG00000053754 0.086 UP
## ENSMUSG00000105692 0.424 UP
## ENSMUSG00000029154 0.224 UP
## ENSMUSG00000062328 0.135 UP
## ENSMUSG00000003849 0.327 UP
## ENSMUSG00000020460 0.134 UP
## ENSMUSG00000026455 0.140 UP
## ENSMUSG00000028936 0.188 UP
## ENSMUSG00000048285 0.324 UP
##
## $B_only
## logFC Trend
## ENSMUSG00000055254 -1.26 DOWN
## ENSMUSG00000114544 -0.81 DOWN
## ENSMUSG00000095616 -2.18 DOWN
## ENSMUSG00000057914 0.65 UP
## ENSMUSG00000066113 0.54 UP
## ENSMUSG00000056899 0.70 UP
## ENSMUSG00000043673 0.64 UP
## ENSMUSG00000003282 0.59 UP
## ENSMUSG00000046093 0.61 UP
## ENSMUSG00000047861 0.48 UP
## ENSMUSG00000085933 0.50 UP
## ENSMUSG00000021876 1.02 UP
## ENSMUSG00000101678 0.76 UP
## ENSMUSG00000026315 0.48 UP
## ENSMUSG00000062901 0.37 UP
## ENSMUSG00000027171 0.43 UP
## ENSMUSG00000037053 0.74 UP
## ENSMUSG00000111118 0.59 UP
## ENSMUSG00000029464 0.36 UP
## ENSMUSG00000023911 0.49 UP
## ENSMUSG00000091938 0.69 UP
## ENSMUSG00000038567 0.79 UP
## ENSMUSG00000026347 0.50 UP
## ENSMUSG00000032327 0.58 UP
## ENSMUSG00000031530 0.46 UP
## ENSMUSG00000037752 0.48 UP
## ENSMUSG00000090165 0.72 UP
## ENSMUSG00000002289 0.96 UP
## ENSMUSG00000021336 0.67 UP
## ENSMUSG00000103864 0.52 UP
##
## $AB
## logFC_A logFC_B Trend
## ENSMUSG00000002250 -0.93 -0.83 DOWN
## ENSMUSG00000002797 -0.53 -0.45 DOWN
## ENSMUSG00000019944 -0.43 -0.50 DOWN
## ENSMUSG00000021135 -1.24 -1.17 DOWN
## ENSMUSG00000021214 -1.29 -1.23 DOWN
## ENSMUSG00000021670 -0.52 -0.51 DOWN
## ENSMUSG00000023067 -0.92 -0.86 DOWN
## ENSMUSG00000023120 -0.66 -0.74 DOWN
## ENSMUSG00000024292 -0.70 -0.65 DOWN
## ENSMUSG00000025185 -0.78 -0.72 DOWN
## ENSMUSG00000026077 -1.19 -1.36 DOWN
## ENSMUSG00000026188 -0.97 -0.86 DOWN
## ENSMUSG00000026189 -0.49 -0.42 DOWN
## ENSMUSG00000026827 -0.58 -0.53 DOWN
## ENSMUSG00000027111 -0.47 -0.39 DOWN
## ENSMUSG00000028671 -0.53 -0.45 DOWN
## ENSMUSG00000029361 -0.40 -0.61 DOWN
## ENSMUSG00000029752 -0.83 -0.74 DOWN
## ENSMUSG00000030641 -0.71 -0.80 DOWN
## ENSMUSG00000031283 -0.82 -0.81 DOWN
## ENSMUSG00000031594 -0.71 -0.64 DOWN
## ENSMUSG00000031994 -1.33 -1.26 DOWN
## ENSMUSG00000032758 -1.47 -1.41 DOWN
## ENSMUSG00000038224 -0.77 -0.69 DOWN
## ENSMUSG00000040998 -0.51 -0.43 DOWN
## ENSMUSG00000041920 -0.70 -0.66 DOWN
## ENSMUSG00000042487 -0.49 -0.42 DOWN
## ENSMUSG00000043091 -0.43 -0.35 DOWN
## ENSMUSG00000043681 -0.81 -0.73 DOWN
## ENSMUSG00000050097 -0.69 -0.66 DOWN
## ENSMUSG00000052562 -1.20 -1.12 DOWN
## ENSMUSG00000053303 -1.45 -1.36 DOWN
## ENSMUSG00000054520 -0.53 -0.55 DOWN
## ENSMUSG00000054986 -1.13 -1.04 DOWN
## ENSMUSG00000055116 -1.04 -0.97 DOWN
## ENSMUSG00000056749 -1.03 -0.95 DOWN
## ENSMUSG00000070985 -0.49 -0.38 DOWN
## ENSMUSG00000074715 -2.05 -1.99 DOWN
## ENSMUSG00000090264 -0.85 -0.79 DOWN
## ENSMUSG00000092500 -0.68 -0.61 DOWN
## ENSMUSG00000100131 -0.74 -0.68 DOWN
## ENSMUSG00000002266 0.80 0.64 UP
## ENSMUSG00000002346 0.41 0.49 UP
## ENSMUSG00000003477 0.62 0.70 UP
## ENSMUSG00000004105 0.31 0.37 UP
## ENSMUSG00000005483 0.36 0.42 UP
## ENSMUSG00000006216 0.22 0.34 UP
## ENSMUSG00000007872 0.82 0.89 UP
## ENSMUSG00000015656 0.36 0.39 UP
## ENSMUSG00000015957 1.15 1.41 UP
## ENSMUSG00000018900 0.45 0.52 UP
## ENSMUSG00000020427 0.64 0.71 UP
## ENSMUSG00000020473 0.26 0.33 UP
## ENSMUSG00000020482 0.34 0.41 UP
## ENSMUSG00000020607 0.38 0.45 UP
## ENSMUSG00000020653 0.81 0.89 UP
## ENSMUSG00000020889 0.74 0.79 UP
## ENSMUSG00000021508 0.75 0.81 UP
## ENSMUSG00000021775 0.84 0.95 UP
## ENSMUSG00000022122 0.42 0.47 UP
## ENSMUSG00000022389 0.65 0.71 UP
## ENSMUSG00000022949 0.72 0.80 UP
## ENSMUSG00000024298 0.22 0.32 UP
## ENSMUSG00000024900 0.38 0.45 UP
## ENSMUSG00000025511 0.44 0.51 UP
## ENSMUSG00000027314 0.59 0.64 UP
## ENSMUSG00000027796 0.72 0.79 UP
## ENSMUSG00000027875 1.68 1.72 UP
## ENSMUSG00000028957 1.23 1.26 UP
## ENSMUSG00000029587 0.24 0.39 UP
## ENSMUSG00000030256 0.98 1.19 UP
## ENSMUSG00000031167 0.53 0.61 UP
## ENSMUSG00000031320 0.26 0.32 UP
## ENSMUSG00000033327 0.43 0.50 UP
## ENSMUSG00000033350 0.37 0.43 UP
## ENSMUSG00000033411 0.20 0.36 UP
## ENSMUSG00000034450 1.88 1.93 UP
## ENSMUSG00000034460 0.32 0.38 UP
## ENSMUSG00000035614 0.18 0.32 UP
## ENSMUSG00000037465 0.58 0.61 UP
## ENSMUSG00000037621 0.52 0.59 UP
## ENSMUSG00000038393 0.68 0.77 UP
## ENSMUSG00000038530 0.46 0.52 UP
## ENSMUSG00000039783 0.37 0.45 UP
## ENSMUSG00000039789 0.23 0.39 UP
## ENSMUSG00000040423 0.21 0.30 UP
## ENSMUSG00000040584 0.52 0.59 UP
## ENSMUSG00000040740 0.58 0.65 UP
## ENSMUSG00000041075 0.28 0.35 UP
## ENSMUSG00000042659 0.36 0.45 UP
## ENSMUSG00000042745 0.46 0.53 UP
## ENSMUSG00000043144 0.60 0.67 UP
## ENSMUSG00000045382 0.58 0.69 UP
## ENSMUSG00000045441 0.34 0.41 UP
## ENSMUSG00000045519 0.37 0.53 UP
## ENSMUSG00000048826 0.26 0.34 UP
## ENSMUSG00000049241 0.55 0.61 UP
## ENSMUSG00000050100 0.73 0.76 UP
## ENSMUSG00000053411 0.35 0.44 UP
## ENSMUSG00000053964 0.64 0.82 UP
## ENSMUSG00000055866 0.81 0.77 UP
## ENSMUSG00000055980 0.27 0.34 UP
## ENSMUSG00000058056 0.34 0.41 UP
## ENSMUSG00000058655 0.26 0.33 UP
## ENSMUSG00000059824 2.26 2.26 UP
## ENSMUSG00000060419 0.57 0.62 UP
## ENSMUSG00000061353 0.55 0.60 UP
## ENSMUSG00000062563 0.29 0.35 UP
## ENSMUSG00000063681 0.66 0.76 UP
## ENSMUSG00000068742 0.45 0.48 UP
## ENSMUSG00000074063 0.48 0.55 UP
## ENSMUSG00000074578 0.32 0.45 UP
## ENSMUSG00000086583 0.42 0.48 UP
## ENSMUSG00000087150 0.37 0.44 UP
## ENSMUSG00000106847 0.29 0.36 UP
## ENSMUSG00000110185 0.26 0.33 UP
## ENSMUSG00000110353 0.56 0.58 UPMultiple Protein Alignment
We will first load in the required packages and files.
library(msa)
seq <- readAAStringSet(file.path(getwd(), "hglobin.fa"))
seq## AAStringSet object of length 8:
## width seq names
## [1] 142 MVLSPADKTNVKAAWGKVGAHAG...PAVHASLDKFLASVSTVLTSKYR HBA_HUMAN
## [2] 142 MVLSGEDKSNIKAAWGKIGGHGA...PAVHASLDKFLASVSTVLTSKYR HBA_MOUSE
## [3] 142 MVLSPADKTIVKAAWGKVGAHAG...PAVHASLDKFLASVSTVLTSKYR HBA_Porpoise
## [4] 142 MVLSPADKTNVKAAWGKVGAHAG...PAVHASLDKFLASVSTVLTSKYR HBA_Gorilla
## [5] 142 MVLSPADKTNVKTAWGKVGAHAG...PAVHASLDKFLASVSTVLTSKYR HBA_Capucin
## [6] 142 MTLTQAEKAAVVTIWAKVATQAD...PEVHAAWDKFLSSVSSVLTEKYR HBA_Owl_Parrot
## [7] 141 VLSSGDKANVKSVWSKVQGHLED...PDVHVSLDKFMGTVSTVLTSKYR HBA_Loggerhead
## [8] 142 MVLSDDDKAKVRAAWVPVAKNAE...PSVILALDKFLDLVAKVLVSRYR HBA_Pit_ViperLets align the 8 different amino acid sequences.
alignments <- msa(seq, method = "ClustalW")## use default substitution matrixalignments## CLUSTAL 2.1
##
## Call:
## msa(seq, method = "ClustalW")
##
## MsaAAMultipleAlignment with 8 rows and 142 columns
## aln names
## [1] MVLSPADKTNVKAAWGKVGAHAGEYG...FTPAVHASLDKFLASVSTVLTSKYR HBA_HUMAN
## [2] MVLSPADKTNVKAAWGKVGAHAGEYG...FTPAVHASLDKFLASVSTVLTSKYR HBA_Gorilla
## [3] MVLSPADKTIVKAAWGKVGAHAGEYG...FTPAVHASLDKFLASVSTVLTSKYR HBA_Porpoise
## [4] MVLSPADKTNVKTAWGKVGAHAGDYG...FTPAVHASLDKFLASVSTVLTSKYR HBA_Capucin
## [5] MVLSGEDKSNIKAAWGKIGGHGAEYG...FTPAVHASLDKFLASVSTVLTSKYR HBA_MOUSE
## [6] MVLSDDDKAKVRAAWVPVAKNAEMYG...LKPSVILALDKFLDLVAKVLVSRYR HBA_Pit_Viper
## [7] -VLSSGDKANVKSVWSKVQGHLEDYG...FTPDVHVSLDKFMGTVSTVLTSKYR HBA_Loggerhead
## [8] MTLTQAEKAAVVTIWAKVATQADAIG...FTPEVHAAWDKFLSSVSSVLTEKYR HBA_Owl_Parrot
## Con MVLSPADKTNVKAAWGKVGAHAGEYG...FTPAVHASLDKFLASVSTVLTSKYR ConsensusmsaPrettyPrint(alignments, output = "pdf", showNames = "left",
showLogo = "none",
askForOverwrite = FALSE,
verbose = TRUE, file ="whole_align.pdf")## Multiple alignment written to temporary file /tmp/RtmpFWanhn/seq13be4db20654.fasta## File whole_align.tex created## Warning in texi2dvi(texfile, quiet = !verbose, pdf = identical(output, "pdf"), :
## texi2dvi script/program not available, using emulation## Output file whole_align.pdf createdmsaPrettyPrint(alignments, c(10,30), output = "pdf", showNames = "left",
file = "Zoomed_align.pdf", showLogo = "top",
askForOverwrite = FALSE, verbose = TRUE)## Multiple alignment written to temporary file /tmp/RtmpFWanhn/seq13be2c4cec35.fasta## File Zoomed_align.tex created## Warning in texi2dvi(texfile, quiet = !verbose, pdf = identical(output, "pdf"), :
## texi2dvi script/program not available, using emulation## Output file Zoomed_align.pdf createdLets make a tree from our alignment while loading in the required packages.
library(ape)##
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## complementlibrary(seqinr)##
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## countConvert to seqinr alignment -> get the distance and make a tree.
alignment_seqiner <- msaConvert(alignments, type = "seqinr::alignment")
distances1 <- seqinr::dist.alignment(alignment_seqiner, "identity")
tree <- ape::nj(distances1)
plot(tree, main = "Phylogentic Tree of HBA Sequences")
Synteny
Let’s load in the required packages
library(DECIPHER)## Loading required package: RSQLite## Loading required package: parallelIn the first step, we load the libraries and the sequence into long_seqs. This is a DNAStringSet object:
long_seq <- readDNAStringSet(file.path(getwd(), "plastid_genomes.fa"))
long_seq## DNAStringSet object of length 5:
## width seq names
## [1] 130584 GGCATAAGCTATCTTCCCAAAGG...ATGATTCAAACATAAAAGTCCT Saccharina japoni...
## [2] 161592 ATGGGCGAACGACGGGAATTGAA...AAAGAAAAAAAAATAGGAGTAA Asclepias nivea c...
## [3] 117672 ATGAGTACAACTCGAAAGTCCAC...TTGATTTCATCCACAAACGAAC Nannochloropsis g...
## [4] 154731 TTATCCATTTGTAGATGGAACTT...CATATACACTAAGACAAAAGTC Cocos nucifera ch...
## [5] 156618 GGGCGAACGACGGGAATTGAACC...CCTTTTGTAGCGAATCCGTTAT Camellia cuspidat...Now lets build a temporary SQLite database.
Seqs2DB(long_seq, "XStringSet", "long_db", names(long_seq))## Adding 5 sequences to the database.
##
## Added 5 new sequences to table Seqs.
## 40 total sequences in table Seqs.
## Time difference of 0.17 secsNow that we’ve built the database, we can do the following:
Find the syntenic blocks.
synteny <- FindSynteny("long_db")## ================================================================================
##
## Time difference of 10 secsView blocs with plotting.
pairs(synteny)
plot(synteny)
Lets make an actual alignment file.
alignment <- AlignSynteny(synteny, "long_db")## ================================================================================
##
## Time difference of 109 secsLets create a structure holding all aligned sytenic blocks for a pair of sequences.
block <- unlist(alignment[[1]])We can write to file one alignment at a time.
writeXStringSet(block, "genome_blocks_out.fa")Unannotated Gene Regions
Lets load in the required packages:
library(locfit)## locfit 1.5-9.5 2022-03-01##
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## nonelibrary(Rsamtools)
library(bamsignals)Lets created a function that will load the gene region information a GFF file and covert it to a bioconductor GRanges object.
get_annotated_region_from_gff <- function(file_name) {
gff <- rtracklayer::import.gff(file_name)
as(gff, "GRanges")
}Get count in windows across the genome in 500bp segments.
whole_genome <- csaw::windowCounts(
file.path(getwd(), "windows.bam"),
bin = TRUE,
filter = 0,
width = 500,
param = csaw::readParam(
minq = 20, #determines what is a passing read
dedup = TRUE, #removes pcr duplicate
pe = "both" # requires that both of reads are aligned
)
)Since this a single column of data, lets rename it.
colnames(whole_genome) <- c("small_data")
annotated_regions <- get_annotated_region_from_gff(file.path(getwd(), "genes.gff"))Now that we have the windows of high expression, we want to see if any of them overlap with annotated regions.
library(IRanges)
library(SummarizedExperiment)Find the overlaps between the windows we made
windows_in_genes <- IRanges::overlapsAny(
SummarizedExperiment::rowRanges(whole_genome), # creates a granges object
annotated_regions
)
windows_in_genes## [1] TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSEHere we subset the whole_genome object into annotated and nonannotated regions.
annotated_window_counts <- whole_genome[windows_in_genes,]
non_annotated_window_counts <- whole_genome[!windows_in_genes]Use assay () to extract the actual counts from the Granges object.
assay(non_annotated_window_counts)## small_data
## [1,] 0
## [2,] 0
## [3,] 24
## [4,] 25
## [5,] 0
## [6,] 0In this step, we use Rsamtools Pileup() function to get a per-base coverage dataframe each row represents a single polynucleotide in the reference count and the count column gives the depth of the coverage.
library(bumphunter)## Loading required package: foreach## Parallel computing support for 'oligo/crlmm': Disabled
## - Load 'ff'
## - Load and register a 'foreach' adaptor
## Example - Using 'multicore' for 2 cores:
## library(doMC)
## registerDoMC(2)
## ================================================================================
##
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## accumulate, when
##
## Loading required package: iteratorspile_df <- Rsamtools::pileup(file.path(getwd(), "windows.bam"))This step groups the reads with certain distance of each other into a cluster, we give the sequence names, position and distance
clusters <- bumphunter::clusterMaker(pile_df$seqnames, pile_df$pos, maxGap = 100)
table(clusters)## clusters
## 1 2 3
## 1486 1552 1520In this step, we will map the reads to the regions we found for the genome
bumphunter::regionFinder(pile_df$count, pile_df$seqnames, pile_df$pos, clusters, cutoff = 1)## getSegments: segmenting## getSegments: splitting## chr start end value area cluster indexStart indexEnd L clusterL
## 3 Chr1 4503 5500 10.4 15811 3 3039 4558 1520 1520
## 1 Chr1 502 1500 10.0 14839 1 1 1486 1486 1486
## 2 Chr1 2501 3500 8.7 13436 2 1487 3038 1552 1552Treeio
Lets load the required packages
library(ggplot2)
library(ggtree)## ggtree v3.2.1 For help: https://yulab-smu.top/treedata-book/
##
## If you use ggtree in published research, please cite the most appropriate paper(s):
##
## 1. Guangchuang Yu. Using ggtree to visualize data on tree-like structures. Current Protocols in Bioinformatics. 2020, 69:e96. doi:10.1002/cpbi.96
## 2. Guangchuang Yu, Tommy Tsan-Yuk Lam, Huachen Zhu, Yi Guan. Two methods for mapping and visualizing associated data on phylogeny using ggtree. Molecular Biology and Evolution. 2018, 35(12):3041-3043. doi:10.1093/molbev/msy194
## 3. Guangchuang Yu, David Smith, Huachen Zhu, Yi Guan, Tommy Tsan-Yuk Lam. ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data. Methods in Ecology and Evolution. 2017, 8(1):28-36. doi:10.1111/2041-210X.12628##
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## expandlibrary(treeio)## treeio v1.18.1 For help: https://yulab-smu.top/treedata-book/
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## If you use treeio in published research, please cite:
##
## LG Wang, TTY Lam, S Xu, Z Dai, L Zhou, T Feng, P Guo, CW Dunn, BR Jones, T Bradley, H Zhu, Y Guan, Y Jiang, G Yu. treeio: an R package for phylogenetic tree input and output with richly annotated and associated data. Molecular Biology and Evolution 2020, 37(2):599-603. doi: 10.1093/molbev/msz240##
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## maskFirst we need to load our raw tree data. Its a newick format so we use:
itol <- ape::read.tree("itol.nwk")Now we will print out a very basic phylogenetic tree.
ggtree(itol)
We can also change the formate to make it circular.
ggtree(itol, layout = "circular")
We can also change the left-right/up-down direction.
ggtree(itol) + coord_flip() + scale_x_reverse()
By using geom-tiple() we can add names to the end of tips.
ggtree(itol) + geom_tiplab(color = "indianred", size = 1)
By adding a geom_strop() layer we can annonate clades in the tree with a block of color.
ggtree(itol, layout = "unrooted") + geom_strip(13,14, color = "red", barsize = 1)## "daylight" method was used as default layout for unrooted tree.## Average angle change [1] 0.190413138751168## Average angle change [2] 0.144336349355351## Average angle change [3] 0.123242001597025## Average angle change [4] 0.104391847943619## Average angle change [5] 0.0800193428708038
We can highlight clades in unrooted trees with blobs of color using geom_hillight.
ggtree(itol, layout = "unrooted") + geom_hilight(node = 11, type = "encircle", fill = "steelblue")## "daylight" method was used as default layout for unrooted tree.## Average angle change [1] 0.190413138751168## Average angle change [2] 0.144336349355351## Average angle change [3] 0.123242001597025## Average angle change [4] 0.104391847943619## Average angle change [5] 0.0800193428708038
Next we will install a few more packages.
install.packages('BAMMtools')## Installing package into '/home/student/R/x86_64-pc-linux-gnu-library/4.1'
## (as 'lib' is unspecified)library(BAMMtools)We can use the MRCA (most recent common ancestor) function to find the node we want.
getmrca(itol, "Photorhabdus_luminescens", "Blochmannia_floridanus")## [1] 206Now if we want to highlight the section of the most recent common ancestor between ggtree.
ggtree(itol, layout = "unrooted") + geom_hilight(node = 206, type = "encircle", fill = "steelblue")## "daylight" method was used as default layout for unrooted tree.## Average angle change [1] 0.190413138751168## Average angle change [2] 0.144336349355351## Average angle change [3] 0.123242001597025## Average angle change [4] 0.104391847943619## Average angle change [5] 0.0800193428708038
Treespace
Quantifying differences between trees with treespace:
First lets load the required packages
library(ape)
library(adegraphics)## Registered S3 methods overwritten by 'adegraphics':
## method from
## biplot.dudi ade4
## kplot.foucart ade4
## kplot.mcoa ade4
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## scatter.coa ade4
## scatter.dudi ade4
## scatter.nipals ade4
## scatter.pco ade4
## score.acm ade4
## score.mix ade4
## score.pca ade4
## screeplot.dudi ade4##
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## score## Creating a generic function for 'toJSON' from package 'jsonlite' in package 'googleVis'Now we need to load all the tree files into a multiphylo object
treefiles <- list.files(file.path(getwd(),"gene_trees"), full.names = TRUE)
tree_list <- lapply(treefiles, read.tree)
class(tree_list) <- "multiPhylo"
class(tree_list)## [1] "multiPhylo"Now we can compute the Kendall_Coljin distances between trees. This function does a lot of analyses
First it runs a pairwise comparison of all trees in the input. Second it carries out clustering using PCA. These rults are returned in a list of object, where $D contains the pairwise Metric of the trees, and $pco contains the PCA. the method we use(Kendal-Coljin) is Particularly suitable for rooted trees as we have here. The option NF tells us how many principal components to retain.
comparisons <- treespace(tree_list, nf = 3)We can plot the pairwise disatances between trees with table.image.
table.image(comparisons$D, nclass = 25)
Now lets print the PCA and clusters, this shows us how the group of tree cluster.
plotGroves(comparisons$pco, lab.show = TRUE, lab.cex = 1.5)
groves <- findGroves(comparisons, nclust = 4)
plotGroves(groves)
Binding Trees
Load our required packages
library(ape)Now lets load the tree data we will be working with.
newick <- read.tree("mammal_tree.nwk.txt")
l <- subtrees(newick)Lets plot the tree to see what it looks like.
plot(newick)
We can subset this plot using the “node” function.
plot(l[[4]], sub = "Node 4")
Lets extract the tree manually.
small_tree <- extract.clade(newick, 9)
plot(small_tree)
Now what if we want to combine trees.
new_tree <- bind.tree(newick, small_tree, 3)
plot(new_tree)
Trees from Alignment
Lets load the packages
library(Biostrings)
library(msa)
library(phangorn)First we’ll load the sequences into a seqs variable.
seqs <- readAAStringSet("abc.fa")Now lets construct an alignment with the msa package and clustalomega.
aln <- msa::msa(seqs, method = c("ClustalOmega"))## using GonnetTo creat a tree, we need to convert the alignment to a phyData objects.
aln <- as.phyDat(aln, type = "AA")
class(aln)## [1] "phyDat"In this step, we will actually make the trees. Trees are made from a distance matrix, which can be computed with dist.ml() MI Stands for maxium likilhood.
dist_mat <- dist.ml(aln)No we pass the distance matrix to upgma to make a upmga tree.
upgma_tree <- upgma(dist_mat)
plot(upgma_tree, main = "UPGMA")
We can conversely pass the distance matrix for a neighbor joining function.
nj_tree <- NJ(dist_mat)
plot(nj_tree, main = "NJ")
Lastly we are going to use the bootstraps.PhyDat() function to compute bootstrap support for the branches of the tree. the first argument is th object (aln), while the second argument in the function nj.
Bootstraps are essentially confidence intervals for how the clase is placed in the correct position.
fit <- pml(nj_tree, aln)
bootstraps <- bootstrap.phyDat(aln, FUN = function(x) {NJ(dist.ml(x))}, bs = 100)
plotBS(nj_tree, bootstraps, p = 10)
Identifying Variants
First lets load the required libraries.
library(GenomicRanges)
library(gmapR)
library(rtracklayer)
library(VariantAnnotation)##
## Attaching package: 'VariantAnnotation'## The following object is masked from 'package:stringr':
##
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## tabulatelibrary(VariantTools)Now we want to load our datasets. we need .Bam and .fa files for this pipeline to work.
bam_file <- file.path(getwd(), "hg17_snps.bam")
fasta_file <- file.path(getwd(), "chr17.83k.fa")Now we need to set up the genome object and the parameters object:
fa <- rtracklayer::FastaFile(fasta_file)Now we create a GMapGenome object, which describes the genome ot the later variant calling function.
genome <- gmapR::GmapGenome(fa, create = TRUE)## NOTE: genome 'chr17.83k' already exists, not overwritingThis next step sets our parameter for what is considered a variant. There can be a lot of fine tuning to this function. We are just going to use standard settings.
qual_params <- TallyVariantsParam(
genome = genome,
minimum_mapq = 20)
var_params <- VariantCallingFilters(read.count = 10, p.lower = 0.01)Now we use callVariants function in accordance with out parametres we defined above.
called_variants <- callVariants(bam_file,
qual_params,
calling.filter = var_params)
head(called_variants)## VRanges object with 6 ranges and 17 metadata columns:
## seqnames ranges strand ref alt totalDepth
## <Rle> <IRanges> <Rle> <character> <characterOrRle> <integerOrRle>
## [1] NC_000017.10 28 * T A 347
## [2] NC_000017.10 34 * C G 411
## [3] NC_000017.10 38 * A C 446
## [4] NC_000017.10 39 * C G 458
## [5] NC_000017.10 40 * A C 473
## [6] NC_000017.10 41 * A C 485
## refDepth altDepth sampleNames softFilterMatrix | n.read.pos
## <integerOrRle> <integerOrRle> <factorOrRle> <matrix> | <integer>
## [1] 336 11 <NA> | 8
## [2] 401 10 <NA> | 9
## [3] 436 10 <NA> | 8
## [4] 443 15 <NA> | 10
## [5] 462 11 <NA> | 9
## [6] 475 10 <NA> | 10
## n.read.pos.ref raw.count.total count.plus count.plus.ref count.minus
## <integer> <integer> <integer> <integer> <integer>
## [1] 28 347 11 336 0
## [2] 34 411 10 401 0
## [3] 38 446 10 436 0
## [4] 39 458 15 443 0
## [5] 40 473 11 462 0
## [6] 41 485 10 475 0
## count.minus.ref count.del.plus count.del.minus read.pos.mean
## <integer> <integer> <integer> <numeric>
## [1] 0 0 0 16.2727
## [2] 0 0 0 17.8000
## [3] 0 0 0 11.6000
## [4] 0 0 0 15.7333
## [5] 0 0 0 17.1818
## [6] 0 0 0 20.2000
## read.pos.mean.ref read.pos.var read.pos.var.ref mdfne mdfne.ref
## <numeric> <numeric> <numeric> <numeric> <numeric>
## [1] 14.1548 160.2983 69.2367 NA NA
## [2] 17.6259 119.3822 97.6364 NA NA
## [3] 20.3257 60.5511 116.2871 NA NA
## [4] 20.7675 142.0337 123.0415 NA NA
## [5] 21.0390 184.0851 132.2428 NA NA
## [6] 21.4568 184.4044 140.4141 NA NA
## count.high.nm count.high.nm.ref
## <integer> <integer>
## [1] 11 336
## [2] 10 401
## [3] 10 436
## [4] 15 443
## [5] 11 462
## [6] 10 475
## -------
## seqinfo: 1 sequence from chr17.83k genome
## hardFilters(4): nonRef nonNRef readCount likelihoodRatioWe have identified 6 variants.
Now, we move on to annotation and load the feature position information genome.
get_annotated_regions_from_gff <- function(file_name) {
gff <- rtracklayer::import.gff(file_name)
as(gff, "GRanges")
}Note you can also load this data from a bed file.
genes <- get_annotated_regions_from_gff("chr17.83k.gff3")Now we can calculate which variants overlaps which genes.
overlaps <- GenomicRanges::findOverlaps(called_variants, genes)
overlaps## Hits object with 44574 hits and 0 metadata columns:
## queryHits subjectHits
## <integer> <integer>
## [1] 116400 1
## [2] 116400 2
## [3] 116400 3
## [4] 116401 1
## [5] 116401 2
## ... ... ...
## [44570] 136784 2
## [44571] 136784 7
## [44572] 136785 1
## [44573] 136785 2
## [44574] 136785 7
## -------
## queryLength: 149795 / subjectLength: 8Lastly we subset the genes with the list of overlaps.
identified <- genes[subjectHits(overlaps)]Open Reading Frames
First thing, lets load the required packages
library(Biostrings)
library(systemPipeR)## Loading required package: ShortRead## Loading required package: BiocParallel## Loading required package: GenomicAlignments##
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## last##
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## resultsLets load the data into a DNA string set in this case, an Arabidopsis chlorophyll genome.
dna_object <- readDNAStringSet("arabidopsis_chloroplast.fa.txt")Now lets predict the open reading frames with predORF(), we’ll predict all ORF on both strands.
predict_orfs <- predORF(dna_object, n = 'all', type = 'gr', mode = 'ORF', strand = 'both',
longest_disjoint = TRUE)
predict_orfs## GRanges object with 2501 ranges and 2 metadata columns:
## seqnames ranges strand | subject_id inframe2end
## <Rle> <IRanges> <Rle> | <integer> <numeric>
## 1 chloroplast 86762-93358 + | 1 2
## 1162 chloroplast 2056-2532 - | 1 3
## 2 chloroplast 72371-73897 + | 2 2
## 1163 chloroplast 77901-78362 - | 2 1
## 3 chloroplast 54937-56397 + | 3 3
## ... ... ... ... . ... ...
## 2497 chloroplast 129757-129762 - | 1336 3
## 2498 chloroplast 139258-139263 - | 1337 3
## 2499 chloroplast 140026-140031 - | 1338 3
## 2500 chloroplast 143947-143952 - | 1339 3
## 2501 chloroplast 153619-153624 - | 1340 3
## -------
## seqinfo: 1 sequence from an unspecified genome; no seqlengthsThis printed our a GRanges object in return, with 2,501 open reading frames this is far too many open reading frames.
To filter out erronous ORFS, we do a simulation. We first estimate the length an ORF can reach by chance. We will create a string of random nucleotides that is the length of our chloroplast genome and determine what the longer ORF that can arise by chance.
bases <- c("A", "T", "G", "C")
raw_seq_string <- strsplit(as.character(dna_object), "")Now we need to ensure that our random nucleotides match the proportion of nucleotides in our chloroplast genome so we have no bias.
seq_length <- width(dna_object[1])
counts <- lapply(bases, function(x) {sum(grep(x, raw_seq_string))} )
probs <- unlist(lapply(counts, function(base_count){signif(base_count/seq_length, 2)}))
probs## [1] 6.5e-06 6.5e-06 6.5e-06 6.5e-06Now we can build our function to simulate a genome.
get_longest_orf_in_random_genome <- function(x,
length = 1000,
probs = c(0.25,0.25,0.25,0.25),
bases = c("A","T","G","C")){
# here we created our random genome and allow replacement for th enext iteration
random_genome <- paste0(sample(bases, size = length, replace = TRUE, prob = probs), collapse = "")
random_dna_object <- DNAStringSet(random_genome)
names(random_dna_object) <- c("random_dna_string")
orfs <- predORF(random_dna_object, n = 1, type = 'gr', mode = 'ORF', strand = "both", longest_disjoint = TRUE)
return(max(width(orfs)))
}Now we use the function we just created to predict the length 10 random genomes.
random_lengths <- unlist(lapply(1:10, get_longest_orf_in_random_genome, length = seq_length, probs = probs, bases = bases))Lets pull out the longest length from our 10 simulation.
longest_random_orf <- max(random_lengths)Lets only keep the frames that are longer in our cholorplast gene.
keep <- width(predict_orfs) > longest_random_orf
orfs_to_keep <- predict_orfs[keep]
orfs_to_keep## GRanges object with 11 ranges and 2 metadata columns:
## seqnames ranges strand | subject_id inframe2end
## <Rle> <IRanges> <Rle> | <integer> <numeric>
## 1 chloroplast 86762-93358 + | 1 2
## 2 chloroplast 72371-73897 + | 2 2
## 3 chloroplast 54937-56397 + | 3 3
## 4 chloroplast 57147-58541 + | 4 1
## 5 chloroplast 33918-35141 + | 5 1
## 6 chloroplast 32693-33772 + | 6 2
## 7 chloroplast 109408-110436 + | 7 3
## 8 chloroplast 114461-115447 + | 8 2
## 9 chloroplast 141539-142276 + | 9 2
## 10 chloroplast 60741-61430 + | 10 1
## 11 chloroplast 143088-143708 + | 11 1
## -------
## seqinfo: 1 sequence from an unspecified genome; no seqlengthsWrite this data to file.
extracted_orfs <- BSgenome::getSeq(dna_object, orfs_to_keep)
names(extracted_orfs) <- paste0("orf_", 1:length(orfs_to_keep))
writeXStringSet(extracted_orfs, "saved_orfs.fa")KaryoplotR
First lets load the required packages.
library(karyoploteR)## Loading required package: regioneRlibrary(GenomicRanges)Now we need to setup the genome object for our karyotypes.
genome_df <- data.frame(
# first we dictate the number of chromosomes
chr = paste0("chr", 1:5),
start = rep(1, 5),
# and then we will dictate the length of each chromosomes
end = c(34964571, 22037565, 25499034, 20862711, 31270811)
)Now we convert the dataframe to a granges object.
genome_gr <- makeGRangesFromDataFrame(genome_df)Now lets create some snap positions to map out. We do this by using the sample() function.
snp_pos <- sample(1:1e7, 25)
snps <- data.frame(
chr = paste0("chr", sample(1:5,25, replace = TRUE)),
start = snp_pos,
end = snp_pos
)Now we convert the dataframe to granges.
snp_gr <- makeGRangesFromDataFrame(snps)Now lets create some snp labels.
snp_labels <- paste0("snp_", 1:25)Where we will set the margins for our plot.
plot.params <- getDefaultPlotParams(plot.type = 1)Here we will set the margins of our plot.
plot.params$data1outmargin <- 600
kp <- plotKaryotype(genome = genome_gr, plot.type = 1, plot.params = plot.params)
kpPlotMarkers(kp, snp_gr, labels = snp_labels)
We can also add some numeric data to out plots. we will generate 100 random numbers that plot to 100 windows on chromosome 4.
numeric_data <- data.frame(
y = rnorm(100, mean = 1, sd = 0.5),
chr = rep("chr4", 100),
start = seq(1, 20862711, 20862711/100),
end = seq(1, 20862711, 20862711/100)
)Now lets make the data a granges object.
numeric_data_gr <- makeGRangesFromDataFrame(numeric_data)Again lets set our plot parameters.
plot.params <- getDefaultPlotParams(plot.type = 7)
plot.params$data1outmargin <- 800
plot.params$data2outmargin <- 800
plot.params$topmargin <- 800Lets plot the data.
kp <- plotKaryotype(genome = genome_gr, plot.type = 1, plot.params = plot.params)
kpPlotMarkers(kp, snp_gr, labels = snp_labels)
kpLines(kp, numeric_data_gr, y = numeric_data$y, data.panel = 2)