In this course you will learn how to use the ggplot2 package in R to create informative and beautiful figures to communicate your (prote-)omics data and analysis results.
We will cover the following topics:
- Usage of the tidyverse for data preprocessing
- Usage of the ggplot2 R package
- Presentation of different types of graphics and when to use them
- Customization of graphics
Learning goals:
- Using the ggplot2 R package to create graphics for omics data
- Decide which type of graph is appropriate for the given data
- Ability to customize the graphics using ggplot2
Prerequisites:
- Basic understanding of high-dimensional data sets from quantitative proteomics or other life sciences
- Basic knowledge of R (e.g. data import, basic plots. This can for example be gained from our course “Differential analysis of quantitative proteomics data” (https://www.denbi.de/online-training-media-library/1172-differential-analysis-of-quantitative-proteomics-data-using-r)
Download and more information on R here:
https://cran.r-project.org/
We recommend using an editor such as RStudio, see
https://www.rstudio.com