Some demo samples for our 3 month long Bioinformatics Course

Package Installation

Frist, you need to install the library. Here we use the ggplot library. So, if you don’t have the library installed you can install it by:

#install.packages("ggplot2")

After installation complete you have to call the library:

library(ggplot2)

Data Import

Then we need to have a data file and we gonna show it. Here, we take iris data file which contains some plant information.

plant <- iris

head(plant)

##   Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 1          5.1         3.5          1.4         0.2  setosa
## 2          4.9         3.0          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          5.0         3.6          1.4         0.2  setosa
## 6          5.4         3.9          1.7         0.4  setosa

Visualization

This diagram shows that Sepal length vs Petal width relation based on petal width and grouped by the species.

ggplot(plant) +
 aes(x = Sepal.Length, y = Petal.Width, colour = Petal.Width, size = Petal.Width) +
 geom_point(shape = "circle") +
 scale_color_viridis_c(option = "plasma", direction = 1) +
 theme_light() +
 facet_wrap(vars(Species))

This is histogram representation of the Sepal length vs Petal length data based on the species.

ggplot(plant) +
  aes(x = Sepal.Length,
      y = Petal.Length,
      fill = Species,
      group = Petal.Width) +
  geom_tile(size = 1.5) +
  scale_fill_hue(direction = 1) +
  theme_minimal()

Besides this, many kind of representaion can be done by ggplot pacakage.