We’ve been doing some bisulfite mapping via bismark, and one issue we noticed was pretty abysmal mapping efficiency. Hollie noted around 3%, while I got 11% out of some data Steven provided. The developers published a paper here offering some suggestions to improve that, so I’m going to try those out.

First, they suggest running some form of quality control tool on the data. They use FastQC, but say that something like FastX toolkit, Prinseq, or another tool would work also. I’m going to use FastQC, just for simplicity’s sake.

install.packages("IRdisplay")
Installing package into ‘/home/sean/R/x86_64-pc-linux-gnu-library/3.3’
(as ‘lib’ is unspecified)
also installing the dependency ‘repr’

trying URL 'https://cran.rstudio.com/src/contrib/repr_0.10.tar.gz'
Content type 'application/x-gzip' length 21985 bytes (21 KB)
==================================================
downloaded 21 KB

trying URL 'https://cran.rstudio.com/src/contrib/IRdisplay_0.4.4.tar.gz'
Content type 'application/x-gzip' length 6435 bytes
==================================================
downloaded 6435 bytes

* installing *source* package ‘repr’ ...
** package ‘repr’ successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded
* DONE (repr)
* installing *source* package ‘IRdisplay’ ...
** package ‘IRdisplay’ successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded
* DONE (IRdisplay)

The downloaded source packages are in
    ‘/tmp/Rtmpt7ibts/downloaded_packages’

Lets run some fastQC on our data files!

time.fastqc <- proc.time()
system("gksudo /home/shared/fastQC/fastqc ~/Documents/Bismark-Mapping-Eff/Data/*.fastq")
time.fastqc2 <- proc.time() - time.fastqc
display_html(file = html_file_names[1])
cannot open file '1_ATCACG_L001_R1_001_fastqc.html': No such file or directoryError in file(con, "rb") : cannot open the connection

I can’t find a nice way to render html documents inside of an R notebook, so the output files from FastQC can be found here

The FastQC reports look pretty rough, with some indication of adapter contamination and low quality reads. We’ll run trimmomatic here, as it’s what Hollie did in her notebook. The arguments she used are Leading = 3, Trailing = 3, and MinLen = 20. I also pulled the TruSeq adapter sequences from there.

setwd("~/Documents/Bismark-Mapping-Eff/Data")
The working directory was changed to /home/sean/Documents/Bismark-Mapping-Eff/Data inside a notebook chunk. The working directory will be reset when the chunk is finished running. Use the knitr root.dir option in the setup chunk to change the the working directory for notebook chunks.
temp.file.list <- list.files(path = "~/Documents/Bismark-Mapping-Eff/Data", pattern = "*.fastq")
trimo.time <- proc.time()
for(i in 1:length(temp.file.list))   {
  system(paste0("TrimmomaticSE -threads 16 -phred33 ~/Documents/Bismark-Mapping-Eff/Data/", temp.file.list[i],  " ~/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_", temp.file.list[i], " ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20"
))
}
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_10.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_10.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 113424382 Surviving: 104694897 (92.30%) Dropped: 8729485 (7.70%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_11.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_11.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 85167343 Surviving: 78581541 (92.27%) Dropped: 6585802 (7.73%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_12.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_12.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 87308544 Surviving: 80542929 (92.25%) Dropped: 6765615 (7.75%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_13.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_13.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 92858760 Surviving: 86407336 (93.05%) Dropped: 6451424 (6.95%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_14.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_14.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 140204208 Surviving: 128699413 (91.79%) Dropped: 11504795 (8.21%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_15.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_15.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 99431044 Surviving: 91725899 (92.25%) Dropped: 7705145 (7.75%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_16.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_16.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 107049378 Surviving: 99156555 (92.63%) Dropped: 7892823 (7.37%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_17.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_17.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 66494243 Surviving: 61272876 (92.15%) Dropped: 5221367 (7.85%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_18.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_18.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 78526645 Surviving: 73350026 (93.41%) Dropped: 5176619 (6.59%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_1.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_1.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 74152340 Surviving: 68942407 (92.97%) Dropped: 5209933 (7.03%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_2.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_2.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 73488249 Surviving: 67909800 (92.41%) Dropped: 5578449 (7.59%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_3.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_3.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 76394852 Surviving: 70652643 (92.48%) Dropped: 5742209 (7.52%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_4.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_4.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 64145277 Surviving: 59759440 (93.16%) Dropped: 4385837 (6.84%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_5.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_5.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 91405786 Surviving: 85154367 (93.16%) Dropped: 6251419 (6.84%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_6.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_6.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 72057411 Surviving: 67036403 (93.03%) Dropped: 5021008 (6.97%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_7.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_7.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 79104781 Surviving: 73263095 (92.62%) Dropped: 5841686 (7.38%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_8.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_8.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 62466580 Surviving: 57683509 (92.34%) Dropped: 4783071 (7.66%)
TrimmomaticSE: Completed successfully
TrimmomaticSE: Started with arguments:
 -threads 16 -phred33 /home/sean/Documents/Bismark-Mapping-Eff/Data/zr1394_9.fastq /home/sean/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_zr1394_9.fastq ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
ILLUMINACLIP: Using 0 prefix pairs, 2 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Reads: 121559470 Surviving: 112917933 (92.89%) Dropped: 8641537 (7.11%)
TrimmomaticSE: Completed successfully
trimo.time2 <- proc.time() - trimo.time
print(trimo.time2)
    user   system  elapsed 
8029.268  714.868 3187.236 
ad <- 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
galore.time <- proc.time()
for(i in 1:length(temp.file.list))   {
system(paste0("/home/shared/trimgalore/trim_galore --fastqc -a '", toString(ad), "' -q 20 -clip_R1 3 -three_prime_clip_R1 3 --length 20 ", temp.file.list[i], " -o ~/Documents/Bismark-Mapping-Eff/Galore/"))
}
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_10.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_10.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_10_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_10.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
70000000 sequences processed
80000000 sequences processed
90000000 sequences processed
100000000 sequences processed
110000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_10.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 2460.02 s (22 us/read; 2.77 M reads/minute).

=== Summary ===

Total reads processed:             113,424,382
Reads with adapters:                43,185,182 (38.1%)
Reads written (passing filters):   113,424,382 (100.0%)

Total basepairs processed: 5,687,436,918 bp
Quality-trimmed:               9,039,182 bp (0.2%)
Total written (filtered):  5,632,062,338 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 43185182 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 44.7%
  C: 10.5%
  G: 4.9%
  T: 39.4%
  none/other: 0.5%

Overview of removed sequences
length  count   expect  max.err error counts
1   40985747    28356095.5  0   40985747
2   1461680 7089023.9   0   1461680
3   591685  1772256.0   0   591685
4   117427  443064.0    0   117427
5   15243   110766.0    0   15243
6   1954    27691.5 0   1954
7   5798    6922.9  0   5798
8   1745    1730.7  0   1745
9   934 432.7   0   56 878
10  2320    108.2   1   8 2312
11  394 27.0    1   21 373
12  215 6.8 1   0 215
13  37  1.7 1   0 37
14  3   0.4 1   0 3


RUN STATISTICS FOR INPUT FILE: zr1394_10.fastq
=============================================
113424382 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  279725 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_11.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_11.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_11_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_11.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
70000000 sequences processed
80000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_11.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 1819.71 s (21 us/read; 2.81 M reads/minute).

=== Summary ===

Total reads processed:              85,167,343
Reads with adapters:                32,665,400 (38.4%)
Reads written (passing filters):    85,167,343 (100.0%)

Total basepairs processed: 4,275,277,706 bp
Quality-trimmed:               5,973,003 bp (0.1%)
Total written (filtered):  4,234,832,504 bp (99.1%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 32665400 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 46.2%
  C: 10.9%
  G: 3.8%
  T: 38.7%
  none/other: 0.5%

Overview of removed sequences
length  count   expect  max.err error counts
1   31424473    21291835.8  0   31424473
2   805245  5322958.9   0   805245
3   346186  1330739.7   0   346186
4   72175   332684.9    0   72175
5   9699    83171.2 0   9699
6   1183    20792.8 0   1183
7   2829    5198.2  0   2829
8   1044    1299.6  0   1044
9   526 324.9   0   64 462
10  1302    81.2    1   7 1295
11  446 20.3    1   48 398
12  229 5.1 1   2 227
13  61  1.3 1   0 61
14  1   0.3 1   0 1
15  1   0.1 1   0 1


RUN STATISTICS FOR INPUT FILE: zr1394_11.fastq
=============================================
85167343 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  198131 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_12.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_12.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_12_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_12.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
70000000 sequences processed
80000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_12.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 1863.91 s (21 us/read; 2.81 M reads/minute).

=== Summary ===

Total reads processed:              87,308,544
Reads with adapters:                35,302,633 (40.4%)
Reads written (passing filters):    87,308,544 (100.0%)

Total basepairs processed: 4,386,380,593 bp
Quality-trimmed:               5,918,621 bp (0.1%)
Total written (filtered):  4,343,142,503 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 35302633 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 46.7%
  C: 10.9%
  G: 3.4%
  T: 38.5%
  none/other: 0.5%

Overview of removed sequences
length  count   expect  max.err error counts
1   33914599    21827136.0  0   33914599
2   905011  5456784.0   0   905011
3   376952  1364196.0   0   376952
4   89340   341049.0    0   89340
5   8923    85262.2 0   8923
6   1100    21315.6 0   1100
7   3137    5328.9  0   3137
8   1183    1332.2  0   1183
9   612 333.1   0   44 568
10  1280    83.3    1   11 1269
11  305 20.8    1   28 277
12  155 5.2 1   3 152
13  33  1.3 1   0 33
14  3   0.3 1   0 3


RUN STATISTICS FOR INPUT FILE: zr1394_12.fastq
=============================================
87308544 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  203131 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_13.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_13.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_13_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_13.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
70000000 sequences processed
80000000 sequences processed
90000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_13.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 2035.10 s (22 us/read; 2.74 M reads/minute).

=== Summary ===

Total reads processed:              92,858,760
Reads with adapters:                36,482,833 (39.3%)
Reads written (passing filters):    92,858,760 (100.0%)

Total basepairs processed: 4,665,362,708 bp
Quality-trimmed:               5,844,545 bp (0.1%)
Total written (filtered):  4,620,952,841 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 36482833 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 46.7%
  C: 10.9%
  G: 3.7%
  T: 38.3%
  none/other: 0.5%

Overview of removed sequences
length  count   expect  max.err error counts
1   35053970    23214690.0  0   35053970
2   928179  5803672.5   0   928179
3   396678  1450918.1   0   396678
4   83910   362729.5    0   83910
5   10795   90682.4 0   10795
6   1211    22670.6 0   1211
7   3540    5667.6  0   3540
8   1351    1416.9  0   1351
9   731 354.2   0   51 680
10  1624    88.6    1   8 1616
11  526 22.1    1   54 472
12  254 5.5 1   1 253
13  61  1.4 1   0 61
14  1   0.3 1   0 1
15  1   0.1 1   0 1
16  1   0.0 1   0 1


RUN STATISTICS FOR INPUT FILE: zr1394_13.fastq
=============================================
92858760 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  193277 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_14.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_14.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_14_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_14.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
70000000 sequences processed
80000000 sequences processed
90000000 sequences processed
100000000 sequences processed
110000000 sequences processed
120000000 sequences processed
130000000 sequences processed
140000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_14.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 3019.97 s (22 us/read; 2.79 M reads/minute).

=== Summary ===

Total reads processed:             140,204,208
Reads with adapters:                55,361,537 (39.5%)
Reads written (passing filters):   140,204,208 (100.0%)

Total basepairs processed: 7,044,237,190 bp
Quality-trimmed:               9,772,210 bp (0.1%)
Total written (filtered):  6,976,341,780 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 55361537 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 47.1%
  C: 10.1%
  G: 3.1%
  T: 39.2%
  none/other: 0.4%

Overview of removed sequences
length  count   expect  max.err error counts
1   53462724    35051052.0  0   53462724
2   1239767 8762763.0   0   1239767
3   514944  2190690.8   0   514944
4   118938  547672.7    0   118938
5   13830   136918.2    0   13830
6   1714    34229.5 0   1714
7   4371    8557.4  0   4371
8   1295    2139.3  0   1295
9   875 534.8   0   61 814
10  2164    133.7   1   13 2151
11  592 33.4    1   52 540
12  260 8.4 1   1 259
13  62  2.1 1   0 62
14  1   0.5 1   0 1


RUN STATISTICS FOR INPUT FILE: zr1394_14.fastq
=============================================
140204208 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  333547 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_15.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_15.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_15_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_15.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
70000000 sequences processed
80000000 sequences processed
90000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_15.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 2136.95 s (21 us/read; 2.79 M reads/minute).

=== Summary ===

Total reads processed:              99,431,044
Reads with adapters:                38,574,757 (38.8%)
Reads written (passing filters):    99,431,044 (100.0%)

Total basepairs processed: 4,990,166,643 bp
Quality-trimmed:               7,062,930 bp (0.1%)
Total written (filtered):  4,942,286,577 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 38574757 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 46.3%
  C: 10.9%
  G: 3.8%
  T: 38.5%
  none/other: 0.5%

Overview of removed sequences
length  count   expect  max.err error counts
1   37048294    24857761.0  0   37048294
2   977999  6214440.2   0   977999
3   434825  1553610.1   0   434825
4   91202   388402.5    0   91202
5   12431   97100.6 0   12431
6   1401    24275.2 0   1401
7   3528    6068.8  0   3528
8   1486    1517.2  0   1486
9   797 379.3   0   67 730
10  1889    94.8    1   19 1870
11  578 23.7    1   61 517
12  260 5.9 1   2 258
13  64  1.5 1   0 64
14  2   0.4 1   0 2
15  1   0.1 1   0 1


RUN STATISTICS FOR INPUT FILE: zr1394_15.fastq
=============================================
99431044 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  246071 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_16.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_16.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_16_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_16.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
70000000 sequences processed
80000000 sequences processed
90000000 sequences processed
100000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_16.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 2326.77 s (22 us/read; 2.76 M reads/minute).

=== Summary ===

Total reads processed:             107,049,378
Reads with adapters:                41,652,769 (38.9%)
Reads written (passing filters):   107,049,378 (100.0%)

Total basepairs processed: 5,374,514,534 bp
Quality-trimmed:               7,254,396 bp (0.1%)
Total written (filtered):  5,323,303,062 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 41652769 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 46.2%
  C: 10.4%
  G: 3.7%
  T: 39.2%
  none/other: 0.5%

Overview of removed sequences
length  count   expect  max.err error counts
1   40086494    26762344.5  0   40086494
2   1001458 6690586.1   0   1001458
3   446545  1672646.5   0   446545
4   94696   418161.6    0   94696
5   13189   104540.4    0   13189
6   1476    26135.1 0   1476
7   4056    6533.8  0   4056
8   1453    1633.4  0   1453
9   836 408.4   0   88 748
10  1717    102.1   1   12 1705
11  513 25.5    1   51 462
12  277 6.4 1   1 276
13  57  1.6 1   0 57
14  2   0.4 1   0 2


RUN STATISTICS FOR INPUT FILE: zr1394_16.fastq
=============================================
107049378 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  238483 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_17.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_17.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_17_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_17.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_17.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 1443.84 s (22 us/read; 2.76 M reads/minute).

=== Summary ===

Total reads processed:              66,494,243
Reads with adapters:                26,051,518 (39.2%)
Reads written (passing filters):    66,494,243 (100.0%)

Total basepairs processed: 3,331,739,557 bp
Quality-trimmed:               4,841,602 bp (0.1%)
Total written (filtered):  3,299,106,602 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 26051518 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 45.5%
  C: 11.6%
  G: 4.5%
  T: 37.9%
  none/other: 0.5%

Overview of removed sequences
length  count   expect  max.err error counts
1   24882822    16623560.8  0   24882822
2   729325  4155890.2   0   729325
3   355256  1038972.5   0   355256
4   65331   259743.1    0   65331
5   9989    64935.8 0   9989
6   1186    16233.9 0   1186
7   2773    4058.5  0   2773
8   1590    1014.6  0   1590
9   646 253.7   0   83 563
10  1447    63.4    1   23 1424
11  671 15.9    1   137 534
12  349 4.0 1   6 343
13  127 1.0 1   0 127
14  3   0.2 1   0 3
15  2   0.1 1   0 2
21  1   0.0 2   0 0 1


RUN STATISTICS FOR INPUT FILE: zr1394_17.fastq
=============================================
66494243 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  168200 (0.3%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_18.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_18.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_18_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_18.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
70000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_18.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 1710.81 s (22 us/read; 2.75 M reads/minute).

=== Summary ===

Total reads processed:              78,526,645
Reads with adapters:                31,435,977 (40.0%)
Reads written (passing filters):    78,526,645 (100.0%)

Total basepairs processed: 3,950,526,343 bp
Quality-trimmed:               4,519,798 bp (0.1%)
Total written (filtered):  3,912,747,519 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 31435977 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 47.1%
  C: 10.9%
  G: 3.5%
  T: 38.0%
  none/other: 0.5%

Overview of removed sequences
length  count   expect  max.err error counts
1   30174789    19631661.2  0   30174789
2   826848  4907915.3   0   826848
3   342991  1226978.8   0   342991
4   76595   306744.7    0   76595
5   7845    76686.2 0   7845
6   993 19171.5 0   993
7   2609    4792.9  0   2609
8   913 1198.2  0   913
9   534 299.6   0   39 495
10  1171    74.9    1   15 1156
11  410 18.7    1   38 372
12  216 4.7 1   3 213
13  62  1.2 1   0 62
14  1   0.3 1   0 1


RUN STATISTICS FOR INPUT FILE: zr1394_18.fastq
=============================================
78526645 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  141402 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_1.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_1.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_1_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_1.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
70000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_1.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 1619.13 s (22 us/read; 2.75 M reads/minute).

=== Summary ===

Total reads processed:              74,152,340
Reads with adapters:                29,882,662 (40.3%)
Reads written (passing filters):    74,152,340 (100.0%)

Total basepairs processed: 3,723,478,759 bp
Quality-trimmed:               4,368,927 bp (0.1%)
Total written (filtered):  3,687,466,988 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 29882662 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 46.5%
  C: 10.9%
  G: 3.8%
  T: 38.4%
  none/other: 0.4%

Overview of removed sequences
length  count   expect  max.err error counts
1   28696845    18538085.0  0   28696845
2   743935  4634521.2   0   743935
3   352757  1158630.3   0   352757
4   72520   289657.6    0   72520
5   8672    72414.4 0   8672
6   1069    18103.6 0   1069
7   2624    4525.9  0   2624
8   1087    1131.5  0   1087
9   572 282.9   0   78 494
10  1340    70.7    1   32 1308
11  646 17.7    1   63 583
12  460 4.4 1   7 453
13  124 1.1 1   0 124
14  11  0.3 1   0 11


RUN STATISTICS FOR INPUT FILE: zr1394_1.fastq
=============================================
74152340 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  173839 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_2.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_2.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_2_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_2.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
70000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_2.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 1610.50 s (22 us/read; 2.74 M reads/minute).

=== Summary ===

Total reads processed:              73,488,249
Reads with adapters:                29,581,400 (40.3%)
Reads written (passing filters):    73,488,249 (100.0%)

Total basepairs processed: 3,690,821,482 bp
Quality-trimmed:               4,676,110 bp (0.1%)
Total written (filtered):  3,654,734,368 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 29581400 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 46.4%
  C: 10.9%
  G: 3.9%
  T: 38.4%
  none/other: 0.4%

Overview of removed sequences
length  count   expect  max.err error counts
1   28338793    18372062.2  0   28338793
2   790537  4593015.6   0   790537
3   359878  1148253.9   0   359878
4   76003   287063.5    0   76003
5   8002    71765.9 0   8002
6   1107    17941.5 0   1107
7   2913    4485.4  0   2913
8   1090    1121.3  0   1090
9   661 280.3   0   49 612
10  1375    70.1    1   22 1353
11  574 17.5    1   67 507
12  365 4.4 1   2 363
13  95  1.1 1   0 95
14  5   0.3 1   0 5
15  2   0.1 1   0 2


RUN STATISTICS FOR INPUT FILE: zr1394_2.fastq
=============================================
73488249 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  173387 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_3.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_3.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_3_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_3.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
70000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_3.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 1666.13 s (22 us/read; 2.75 M reads/minute).

=== Summary ===

Total reads processed:              76,394,852
Reads with adapters:                30,845,578 (40.4%)
Reads written (passing filters):    76,394,852 (100.0%)

Total basepairs processed: 3,838,964,335 bp
Quality-trimmed:               4,690,922 bp (0.1%)
Total written (filtered):  3,801,713,441 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 30845578 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 46.7%
  C: 10.5%
  G: 3.4%
  T: 38.9%
  none/other: 0.4%

Overview of removed sequences
length  count   expect  max.err error counts
1   29677699    19098713.0  0   29677699
2   743644  4774678.2   0   743644
3   338034  1193669.6   0   338034
4   72016   298417.4    0   72016
5   7418    74604.3 0   7418
6   914 18651.1 0   914
7   2454    4662.8  0   2454
8   905 1165.7  0   905
9   474 291.4   0   46 428
10  1168    72.9    1   30 1138
11  452 18.2    1   35 417
12  301 4.6 1   5 296
13  90  1.1 1   0 90
14  8   0.3 1   0 8
15  1   0.1 1   0 1


RUN STATISTICS FOR INPUT FILE: zr1394_3.fastq
=============================================
76394852 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  170874 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_4.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_4.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_4_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_4.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_4.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 1379.30 s (22 us/read; 2.79 M reads/minute).

=== Summary ===

Total reads processed:              64,145,277
Reads with adapters:                25,621,930 (39.9%)
Reads written (passing filters):    64,145,277 (100.0%)

Total basepairs processed: 3,223,836,346 bp
Quality-trimmed:               3,945,438 bp (0.1%)
Total written (filtered):  3,192,787,814 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 25621930 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 46.9%
  C: 10.8%
  G: 3.6%
  T: 38.2%
  none/other: 0.5%

Overview of removed sequences
length  count   expect  max.err error counts
1   24609640    16036319.2  0   24609640
2   650690  4009079.8   0   650690
3   287659  1002270.0   0   287659
4   60595   250567.5    0   60595
5   7059    62641.9 0   7059
6   941 15660.5 0   941
7   2198    3915.1  0   2198
8   878 978.8   0   878
9   508 244.7   0   48 460
10  1022    61.2    1   17 1005
11  402 15.3    1   56 346
12  249 3.8 1   6 243
13  83  1.0 1   0 83
14  5   0.2 1   0 5
15  1   0.1 1   0 1


RUN STATISTICS FOR INPUT FILE: zr1394_4.fastq
=============================================
64145277 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  141561 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_5.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_5.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_5_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_5.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
70000000 sequences processed
80000000 sequences processed
90000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_5.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 2020.30 s (22 us/read; 2.71 M reads/minute).

=== Summary ===

Total reads processed:              91,405,786
Reads with adapters:                37,527,806 (41.1%)
Reads written (passing filters):    91,405,786 (100.0%)

Total basepairs processed: 4,589,647,758 bp
Quality-trimmed:               5,489,653 bp (0.1%)
Total written (filtered):  4,544,267,493 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 37527806 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 46.3%
  C: 11.3%
  G: 4.0%
  T: 38.1%
  none/other: 0.4%

Overview of removed sequences
length  count   expect  max.err error counts
1   35935034    22851446.5  0   35935034
2   995142  5712861.6   0   995142
3   478719  1428215.4   0   478719
4   99132   357053.9    0   99132
5   9653    89263.5 0   9653
6   1304    22315.9 0   1304
7   3242    5579.0  0   3242
8   1678    1394.7  0   1678
9   913 348.7   0   107 806
10  1542    87.2    1   30 1512
11  771 21.8    1   99 672
12  515 5.4 1   6 509
13  152 1.4 1   0 152
14  7   0.3 1   0 7
15  2   0.1 1   0 2


RUN STATISTICS FOR INPUT FILE: zr1394_5.fastq
=============================================
91405786 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  211704 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_6.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_6.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_6_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_6.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
70000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_6.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 1567.29 s (22 us/read; 2.76 M reads/minute).

=== Summary ===

Total reads processed:              72,057,411
Reads with adapters:                29,789,932 (41.3%)
Reads written (passing filters):    72,057,411 (100.0%)

Total basepairs processed: 3,623,922,208 bp
Quality-trimmed:               4,012,188 bp (0.1%)
Total written (filtered):  3,588,483,613 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 29789932 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 47.4%
  C: 10.7%
  G: 3.2%
  T: 38.3%
  none/other: 0.4%

Overview of removed sequences
length  count   expect  max.err error counts
1   28664478    18014352.8  0   28664478
2   730404  4503588.2   0   730404
3   310812  1125897.0   0   310812
4   72410   281474.3    0   72410
5   5841    70368.6 0   5841
6   872 17592.1 0   872
7   1957    4398.0  0   1957
8   803 1099.5  0   803
9   475 274.9   0   45 430
10  1015    68.7    1   21 994
11  443 17.2    1   45 398
12  312 4.3 1   1 311
13  98  1.1 1   0 98
14  11  0.3 1   0 11
15  1   0.1 1   0 1


RUN STATISTICS FOR INPUT FILE: zr1394_6.fastq
=============================================
72057411 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  154325 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_7.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_7.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_7_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_7.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
70000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_7.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 1715.77 s (22 us/read; 2.77 M reads/minute).

=== Summary ===

Total reads processed:              79,104,781
Reads with adapters:                31,719,551 (40.1%)
Reads written (passing filters):    79,104,781 (100.0%)

Total basepairs processed: 3,970,724,518 bp
Quality-trimmed:               5,133,460 bp (0.1%)
Total written (filtered):  3,932,020,040 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 31719551 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 46.3%
  C: 10.9%
  G: 3.8%
  T: 38.6%
  none/other: 0.4%

Overview of removed sequences
length  count   expect  max.err error counts
1   30468196    19776195.2  0   30468196
2   794484  4944048.8   0   794484
3   362213  1236012.2   0   362213
4   76147   309003.1    0   76147
5   9400    77250.8 0   9400
6   1192    19312.7 0   1192
7   3028    4828.2  0   3028
8   1479    1207.0  0   1479
9   729 301.8   0   97 632
10  1371    75.4    1   25 1346
11  720 18.9    1   84 636
12  463 4.7 1   8 455
13  113 1.2 1   0 113
14  10  0.3 1   0 10
15  5   0.1 1   0 5
16  1   0.0 1   0 1


RUN STATISTICS FOR INPUT FILE: zr1394_7.fastq
=============================================
79104781 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  193543 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_8.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_8.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_8_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_8.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_8.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 1361.42 s (22 us/read; 2.75 M reads/minute).

=== Summary ===

Total reads processed:              62,466,580
Reads with adapters:                24,912,705 (39.9%)
Reads written (passing filters):    62,466,580 (100.0%)

Total basepairs processed: 3,138,210,719 bp
Quality-trimmed:               4,000,171 bp (0.1%)
Total written (filtered):  3,107,836,344 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 24912705 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 46.9%
  C: 10.6%
  G: 3.7%
  T: 38.3%
  none/other: 0.4%

Overview of removed sequences
length  count   expect  max.err error counts
1   23913925    15616645.0  0   23913925
2   638385  3904161.2   0   638385
3   289073  976040.3    0   289073
4   58745   244010.1    0   58745
5   6741    61002.5 0   6741
6   800 15250.6 0   800
7   2225    3812.7  0   2225
8   725 953.2   0   725
9   423 238.3   0   36 387
10  1007    59.6    1   24 983
11  394 14.9    1   41 353
12  196 3.7 1   1 195
13  58  0.9 1   0 58
14  7   0.2 1   0 7
15  1   0.1 1   0 1


RUN STATISTICS FOR INPUT FILE: zr1394_8.fastq
=============================================
62466580 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  140685 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
No quality encoding type selected. Assuming that the data provided uses Sanger encoded Phred scores (default)

Path to Cutadapt set as: 'cutadapt' (default)
1.12
Cutadapt seems to be working fine (tested command 'cutadapt --version')
Writing report to '/home/sean/Documents/Bismark-Mapping-Eff/Galore/zr1394_9.fastq_trimming_report.txt'

SUMMARISING RUN PARAMETERS
==========================
Input filename: zr1394_9.fastq
Trimming mode: single-end
Trim Galore version: 0.4.2
Cutadapt version: 1.12
Quality Phred score cutoff: 20
Quality encoding type selected: ASCII+33
Adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' ()
Maximum trimming error rate: 0.1 (default)
Minimum required adapter overlap (stringency): 1 bp
Minimum required sequence length before a sequence gets removed: 20 bp
All Read 1 sequences will be trimmed by 3 bp from their 5' end to avoid poor qualities or biases
All Read 1 sequences will be trimmed by 3 bp from their 3' end to avoid poor qualities or biases
Running FastQC on the data once trimming has completed

Writing final adapter and quality trimmed output to zr1394_9_trimmed.fq


  >>> Now performing quality (cutoff 20) and adapter trimming in a single pass for the adapter sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA' from file zr1394_9.fastq <<< 
10000000 sequences processed
20000000 sequences processed
30000000 sequences processed
40000000 sequences processed
50000000 sequences processed
60000000 sequences processed
70000000 sequences processed
80000000 sequences processed
90000000 sequences processed
100000000 sequences processed
110000000 sequences processed
120000000 sequences processed
This is cutadapt 1.12 with Python 2.7.12
Command line parameters: -f fastq -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA zr1394_9.fastq
Trimming 1 adapter with at most 10.0% errors in single-end mode ...
Finished in 2668.85 s (22 us/read; 2.73 M reads/minute).

=== Summary ===

Total reads processed:             121,559,470
Reads with adapters:                49,649,167 (40.8%)
Reads written (passing filters):   121,559,470 (100.0%)

Total basepairs processed: 6,112,788,269 bp
Quality-trimmed:               7,092,838 bp (0.1%)
Total written (filtered):  6,053,405,265 bp (99.0%)

=== Adapter 1 ===

Sequence: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA; Type: regular 3'; Length: 34; Trimmed: 49649167 times.

No. of allowed errors:
0-9 bp: 0; 10-19 bp: 1; 20-29 bp: 2; 30-34 bp: 3

Bases preceding removed adapters:
  A: 47.1%
  C: 10.4%
  G: 3.1%
  T: 38.9%
  none/other: 0.4%

Overview of removed sequences
length  count   expect  max.err error counts
1   47823355    30389867.5  0   47823355
2   1190767 7597466.9   0   1190767
3   500538  1899366.7   0   500538
4   114801  474841.7    0   114801
5   11070   118710.4    0   11070
6   1272    29677.6 0   1272
7   3350    7419.4  0   3350
8   1216    1854.9  0   1216
9   720 463.7   0   69 651
10  1362    115.9   1   10 1352
11  444 29.0    1   43 401
12  222 7.2 1   2 220
13  49  1.8 1   0 49
14  1   0.5 1   0 1


RUN STATISTICS FOR INPUT FILE: zr1394_9.fastq
=============================================
121559470 sequences processed in total
Sequences removed because they became shorter than the length cutoff of 20 bp:  236908 (0.2%)


  >>> Now running FastQC on the data <<<

Can't exec "fastqc": No such file or directory at /home/shared/trimgalore/trim_galore line 771.
galore.time2 <- proc.time - galore.time
Error in proc.time - galore.time : 
  non-numeric argument to binary operator

Now we’ll re-run FastQC, to check if things have changed

time.clean.fastqc <- proc.time()
system("/home/shared/fastQC/fastqc ~/Documents/Bismark-Mapping-Eff/Cleaned/*.fastq")
time.clean.fastqc2 <- proc.time() - time.clean.fastqc
print(time.clean.fastqc2)

The Babraham paper suggests trimming using Trim Galore with a –trim1 argument, but this is for paired end reads, and we have single end reads here, so that isn’t applicable to us.

update after one night running: I apparently don’t have FastQC pathed propery for the –fastqc call to work in Trim Galore. Oops. So I guess we get to run FastQC on everything manually. Ah well.

setwd("~/Documents/Bismark-Mapping-Eff/Cleaned")
The working directory was changed to /home/sean/Documents/Bismark-Mapping-Eff/Cleaned inside a notebook chunk. The working directory will be reset when the chunk is finished running. Use the knitr root.dir option in the setup chunk to change the the working directory for notebook chunks.
system("/home/shared/fastQC/fastqc ~/Documents/Bismark-Mapping-Eff/Cleaned/*.fastq")
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Moving on to the bismark steps. First, we prep the reference genome.

#system("/home/shared/Bismark/bismark_genome_preparation ~/Documents/Bismark-Mapping-Eff/Bowtie1/")

#system("/home/shared/Bismark/bismark_genome_preparation --bowtie2 ~/Documents/Bismark-Mapping-Eff/Bowtie2/")

Now we’re going to run the Bismark aligner a few different ways. I’m trying both Trimmomatic and Trim Galore trimmed files, with N arguments of 0 and 1 for Bismark. N indiates the number of high-quality mismatches, and may not have a measurable effect on mapping efficiencies, but it’s worth a shot I suppose?

# trimmo.file.names <- list.files(path = "~/Documents/Bismark-Mapping-Eff/Cleaned", pattern = "*.fastq")
# 
# galore.file.names <- list.files(path = "~/Documents/Bismark-Mapping-Eff/Galore", pattern = "*.fastq")
# 
# for(i in 1:nrow(trimmo.file.names))   {
# 
#   system(paste0("/home/shared/Bismark/bismark -n 0 --genome ~/Documents/Bismark-Mapping-Eff/Bowtie2/ ~/Documents/Bismark-Mapping-Eff/Cleaned/", trimmo.file.names[i]," --output_dir ~/Documents/Bismark-Mapping-Eff/Trimmo-Out-0 "))
# 
# }
# 
# for(i in 1:nrow(trimmo.file.names))   {
# 
#   system(paste0("/home/shared/Bismark/bismark -n 1 --genome ~/Documents/Bismark-Mapping-Eff/Bowtie2/ ~/Documents/Bismark-Mapping-Eff/Cleaned/", trimmo.file.names[i]," --output_dir ~/Documents/Bismark-Mapping-Eff/Trimmo-Out-1 "))
# 
# }
# 
# for(i in 1:nrow(galore.file.names))   {
# 
#   system(paste0("/home/shared/Bismark/bismark -n 0 --genome ~/Documents/Bismark-Mapping-Eff/Bowtie2/ ~/Documents/Bismark-Mapping-Eff/Cleaned/", galore.file.names[i]," --output_dir ~/Documents/Bismark-Mapping-Eff/Galore-Out-0 "))
# 
# }
# 
# for(i in 1:nrow(galore.file.names))   {
# 
#   system(paste0("/home/shared/Bismark/bismark -n 1 --genome ~/Documents/Bismark-Mapping-Eff/Bowtie2/ ~/Documents/Bismark-Mapping-Eff/Cleaned/", galore.file.names[i]," --output_dir ~/Documents/Bismark-Mapping-Eff/Galore-Out-1 "))
# 
# }

file.names.list <- list.files(path = "~/Documents/test", pattern = "*.fastq")

for(i in 1:length(file.names.list))  {
  time.0 <- proc.time()
  system(paste0("/home/shared/Bismark/bismark --multicore 8 -n 0 --genome ~/Documents/Bismark-Mapping-Eff/Bowtie2/ ~/Documents/test/", file.names.list[i], " --output_dir ~/Documents/test/"))
  time.0 <- time.0 - proc.time()
  print(time.0)
  
  time.1 <- proc.time()
system(paste0("/home/shared/Bismark/bismark --multicore 8 -n 1 --genome ~/Documents/Bismark-Mapping-Eff/Bowtie2/ ~/Documents/test/", file.names.list[i], " --output_dir ~/Documents/test/"))
  time.1 <- time.1 - proc.time()
  print(time.1)

  time.2 <- proc.time()
system(paste0("/home/shared/Bismark/bismark --multicore 8 -n 2 --genome ~/Documents/Bismark-Mapping-Eff/Bowtie2/ ~/Documents/test/", file.names.list[i], " --output_dir ~/Documents/test/"))
  time.2 <- time.2 - proc.time()
  print(time.2)
}
for(i in 1:length(file.names.list))   {
  
  system(paste0("bsmap -a ~/Documents/test/", file.names.list[i], " -d ~/Documents/Bismark-Mapping-Eff/Bowtie1/Ostrea_lurida-Scaff-10k.fa -o ~/Documents/test/", file.names.list[i], ".sam"))
  
}
[bsmap] @Thu Dec 22 15:03:55 2016   loading reference file: /home/sean/Documents/Bismark-Mapping-Eff/Bowtie1/Ostrea_lurida-Scaff-10k.fa     (format: FASTA)
[bsmap] @Thu Dec 22 15:03:56 2016   8733 reference seqs loaded, total size 131223850 bp. 1 secs passed
[bsmap] @Thu Dec 22 15:04:03 2016   create seed table. 8 secs passed
[bsmap] @Thu Dec 22 15:04:03 2016   Single-end alignment(8 threads),
    Input read file: /home/sean/Documents/test/cleaned_zr1394_8.fastq   (format: FASTQ)
    Output file: /home/sean/Documents/test/cleaned_zr1394_8.fastq.sam    (format: SAM)
[bsmap] @Thu Dec 22 15:24:59 2016   total reads: 57683509   total time:  1264 secs
    aligned reads: 6365355 (11.0%), unique reads: 3771203 (6.5%), non-unique reads: 2594152 (4.5%)
[bsmap] @Thu Dec 22 15:24:59 2016   loading reference file: /home/sean/Documents/Bismark-Mapping-Eff/Bowtie1/Ostrea_lurida-Scaff-10k.fa     (format: FASTA)
[bsmap] @Thu Dec 22 15:25:01 2016   8733 reference seqs loaded, total size 131223850 bp. 2 secs passed
[bsmap] @Thu Dec 22 15:25:06 2016   create seed table. 7 secs passed
[bsmap] @Thu Dec 22 15:25:06 2016   Single-end alignment(8 threads),
    Input read file: /home/sean/Documents/test/zr1394_8.fastq   (format: FASTQ)
    Output file: /home/sean/Documents/test/zr1394_8.fastq.sam    (format: SAM)
[bsmap] @Thu Dec 22 15:47:31 2016   total reads: 62466580   total time:  1352 secs
    aligned reads: 6066622 (9.7%), unique reads: 3655578 (5.9%), non-unique reads: 2411044 (3.9%)
[bsmap] @Thu Dec 22 15:47:31 2016   loading reference file: /home/sean/Documents/Bismark-Mapping-Eff/Bowtie1/Ostrea_lurida-Scaff-10k.fa     (format: FASTA)
[bsmap] @Thu Dec 22 15:47:32 2016   8733 reference seqs loaded, total size 131223850 bp. 1 secs passed
[bsmap] @Thu Dec 22 15:47:37 2016   create seed table. 6 secs passed
[bsmap] @Thu Dec 22 15:47:37 2016   Single-end alignment(8 threads),
    Input read file: /home/sean/Documents/test/zr1394_8_trimmed.fastq   (format: FASTQ)
    Output file: /home/sean/Documents/test/zr1394_8_trimmed.fastq.sam    (format: SAM)
[bsmap] @Thu Dec 22 16:09:51 2016   total reads: 62325895   total time:  1340 secs
    aligned reads: 8104016 (13.0%), unique reads: 4636019 (7.4%), non-unique reads: 3467997 (5.6%)
---
title: "Getting better mapping efficiency out of Bismark"
output: html_notebook
---

We've been doing some bisulfite mapping via bismark, and one issue we noticed was pretty abysmal mapping efficiency. Hollie noted around 3%, while I got 11% out of some data Steven provided. The developers published a paper [here](http://www.epigenesys.eu/en/protocols/bio-informatics/483-quality-control-trimming-and-alignment-of-bisulfite-seq-data-prot-57) offering some suggestions to improve that, so I'm going to try those out.

First, they suggest running some form of quality control tool on the data. They use FastQC, but say that something like FastX toolkit, Prinseq, or another tool would work also. I'm going to use FastQC, just for simplicity's sake.

```{r}
## Moving data files to the correct directory and unzipping them
setwd("~/Documents/Bismark-Mapping-Eff/")
system("mkdir ~/Documents/Bismark-Mapping-Eff/Data")
system("mv ~/Documents/Bismark-Mapping-Eff/*.gz ~/Documents/Bismark-Mapping-Eff/Data")
system("gunzip ~/Documents/Bismark-Mapping-Eff/Data/*.gz")

## Downloading fastqc
system("wget http://www.bioinformatics.babraham.ac.uk/projects/fastqc/fastqc_v0.11.5.zip")

## gksudo is a graphical implementation of sudo, which gets around the whole inability to interact with the Linux command line via an R script. You can get it via sudo apt-get install gksu if you want to implement the script this way, otherwise you can just do this part in terminal. Unlike regular sudo, which will remember your password for a period of time after entering it, gksudo requires entry every time, which gets a little tedious.

system("gksudo mkdir /home/shared/fastQC")
system("gksudo mv fastqc_v0.11.5.zip /home/shared/fastQC/fastqc_v0.11.5.zip")
system("gksudo unzip fastqc_v0.11.5.zip")
system("gksudo mv /home/shared/fastQC/FastQC/* /home/shared/fastQC")
system("gksudo chmod +x /home/shared/fastQC/fastqc")

```

Lets run some fastQC on our data files!

```{r}
time.fastqc <- proc.time()
system("gksudo /home/shared/fastQC/fastqc ~/Documents/Bismark-Mapping-Eff/Data/*.fastq")
time.fastqc2 <- proc.time() - time.fastqc
```

```{r}
html_dir <- "~/Documents/Bismark-Mapping-Eff/Data/"
html_file_names <- list.files(path = "~/Documents/Bismark-Mapping-Eff/Data/", pattern = "*.html")

```

I can't find a nice way to render html documents inside of an R notebook, so the output files from FastQC can be found [here](https://github.com/seanb80/seanb80.github.io/tree/master/images/fastQC)

The FastQC reports look pretty rough, with some indication of adapter contamination and low quality reads. We'll run trimmomatic here, as it's what Hollie did in her notebook. The arguments she used are Leading = 3, Trailing = 3, and MinLen = 20. I also pulled the TruSeq adapter sequences from there.

```{r}
setwd("~/Documents/Bismark-Mapping-Eff/Data")
temp.file.list <- list.files(path = "~/Documents/Bismark-Mapping-Eff/Data", pattern = "*.fastq")

trimo.time <- proc.time()
for(i in 1:length(temp.file.list))   {
  system(paste0("TrimmomaticSE -threads 16 -phred33 ~/Documents/Bismark-Mapping-Eff/Data/", temp.file.list[i],  " ~/Documents/Bismark-Mapping-Eff/Cleaned/cleaned_", temp.file.list[i], " ILLUMINACLIP:TruSeq3-SE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:20"
))
}

trimo.time2 <- proc.time() - trimo.time
print(trimo.time2)
ad <- 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'

galore.time <- proc.time()
for(i in 1:length(temp.file.list))   {
system(paste0("/home/shared/trimgalore/trim_galore --fastqc -a '", toString(ad), "' -q 20 -clip_R1 3 -three_prime_clip_R1 3 --length 20 ", temp.file.list[i], " -o ~/Documents/Bismark-Mapping-Eff/Galore/"))
}
galore.time2 <- proc.time - galore.time
```

Now we'll re-run FastQC, to check if things have changed
```{r}
time.clean.fastqc <- proc.time()
system("/home/shared/fastQC/fastqc ~/Documents/Bismark-Mapping-Eff/Cleaned/*.fastq")
time.clean.fastqc2 <- proc.time() - time.clean.fastqc
print(time.clean.fastqc2)
```


The Babraham paper suggests trimming using Trim Galore with a --trim1 argument, but this is for paired end reads, and we have single end reads here, so that isn't applicable to us. 

update after one night running: I apparently don't have FastQC pathed propery for the --fastqc call to work in Trim Galore. Oops. So I guess we get to run FastQC on everything manually. Ah well.

```{r}
setwd("~/Documents/Bismark-Mapping-Eff/Cleaned")
system("/home/shared/fastQC/fastqc ~/Documents/Bismark-Mapping-Eff/Cleaned/*.fastq")

setwd("~/Documents/Bismark-Mapping-Eff/Galore")
system("/home/shared/fastQC/fastqc ~/Documents/Bismark-Mapping-Eff/Galore/*.fastq")

```

Moving on to the bismark steps. First, we prep the reference genome. 

```{r}
#system("/home/shared/Bismark/bismark_genome_preparation ~/Documents/Bismark-Mapping-Eff/Bowtie1/")

#system("/home/shared/Bismark/bismark_genome_preparation --bowtie2 ~/Documents/Bismark-Mapping-Eff/Bowtie2/")
```

Now we're going to run the Bismark aligner a few different ways. I'm trying both Trimmomatic and Trim Galore trimmed files, with N arguments of 0 and 1 for Bismark. N indiates the number of high-quality mismatches, and may not have a measurable effect on mapping efficiencies, but it's worth a shot I suppose?

```{r}
# trimmo.file.names <- list.files(path = "~/Documents/Bismark-Mapping-Eff/Cleaned", pattern = "*.fastq")
# 
# galore.file.names <- list.files(path = "~/Documents/Bismark-Mapping-Eff/Galore", pattern = "*.fastq")
# 
# for(i in 1:nrow(trimmo.file.names))   {
# 
#   system(paste0("/home/shared/Bismark/bismark -n 0 --genome ~/Documents/Bismark-Mapping-Eff/Bowtie2/ ~/Documents/Bismark-Mapping-Eff/Cleaned/", trimmo.file.names[i]," --output_dir ~/Documents/Bismark-Mapping-Eff/Trimmo-Out-0 "))
# 
# }
# 
# for(i in 1:nrow(trimmo.file.names))   {
# 
#   system(paste0("/home/shared/Bismark/bismark -n 1 --genome ~/Documents/Bismark-Mapping-Eff/Bowtie2/ ~/Documents/Bismark-Mapping-Eff/Cleaned/", trimmo.file.names[i]," --output_dir ~/Documents/Bismark-Mapping-Eff/Trimmo-Out-1 "))
# 
# }
# 
# for(i in 1:nrow(galore.file.names))   {
# 
#   system(paste0("/home/shared/Bismark/bismark -n 0 --genome ~/Documents/Bismark-Mapping-Eff/Bowtie2/ ~/Documents/Bismark-Mapping-Eff/Cleaned/", galore.file.names[i]," --output_dir ~/Documents/Bismark-Mapping-Eff/Galore-Out-0 "))
# 
# }
# 
# for(i in 1:nrow(galore.file.names))   {
# 
#   system(paste0("/home/shared/Bismark/bismark -n 1 --genome ~/Documents/Bismark-Mapping-Eff/Bowtie2/ ~/Documents/Bismark-Mapping-Eff/Cleaned/", galore.file.names[i]," --output_dir ~/Documents/Bismark-Mapping-Eff/Galore-Out-1 "))
# 
# }
```

```{r}

file.names.list <- list.files(path = "~/Documents/test", pattern = "*.fastq")

for(i in 1:length(file.names.list))  {
  time.0 <- proc.time()
  system(paste0("/home/shared/Bismark/bismark --multicore 8 -n 0 --genome ~/Documents/Bismark-Mapping-Eff/Bowtie2/ ~/Documents/test/", file.names.list[i], " --output_dir ~/Documents/test/"))
  time.0 <- time.0 - proc.time()
  print(time.0)
  
  time.1 <- proc.time()
system(paste0("/home/shared/Bismark/bismark --multicore 8 -n 1 --genome ~/Documents/Bismark-Mapping-Eff/Bowtie2/ ~/Documents/test/", file.names.list[i], " --output_dir ~/Documents/test/"))
  time.1 <- time.1 - proc.time()
  print(time.1)

  time.2 <- proc.time()
system(paste0("/home/shared/Bismark/bismark --multicore 8 -n 2 --genome ~/Documents/Bismark-Mapping-Eff/Bowtie2/ ~/Documents/test/", file.names.list[i], " --output_dir ~/Documents/test/"))
  time.2 <- time.2 - proc.time()
  print(time.2)
}

```



```{r}

for(i in 1:length(file.names.list))   {
  
  system(paste0("bsmap -a ~/Documents/test/", file.names.list[i], " -d ~/Documents/Bismark-Mapping-Eff/Bowtie1/Ostrea_lurida-Scaff-10k.fa -o ~/Documents/test/", file.names.list[i], ".sam"))
  
}


```