Visualization of proteomics data using R

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

We will explain the concepts in general, while the hands-on exercises will be focused on visualizing proteomics data.

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” (16th and 17^thSeptember 2025, https://forms.gle/wCpP3kJqjLGMyosZ9).
- Computer with stable internet connection, headset and camera

Keywords:
R; tidyverse; ggplot2; high-throughput data; omics; proteomics; data analysis, graphics, data preprocessing

Tools: 
Download and more information on R here:
https://cran.r-project.org/

We recommend using an editor such as RStudio, see
www.rstudio.com