Data visualization using R

Educators:
Markus Stepath, Karin Schork, Nils Hoffmann (BioInfra.Prot / LIFS)

Date:
Monday, 7th Dec 2020

Location:
Online training

Contents:
In this course you will learn how to use the ggplot2 package in R to create informative and beautiful figures to communicate your 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

Please be aware that basic knowledge of R is taught in our course “Differential analysis of quantitative proteomics data” on Monday, 2nd Nov 2020 (http://goo.gl/forms/mpKHnbT1Um).

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” (Monday, 2nd Nov 2020, http://goo.gl/forms/mpKHnbT1Um).
- 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

Contact:
This email address is being protected from spambots. You need JavaScript enabled to view it., This email address is being protected from spambots. You need JavaScript enabled to view it., This email address is being protected from spambots. You need JavaScript enabled to view it.

Number of participants Number of participants is limited to 25.

Related courses There will be a basic R course on 2nd Nov. 2020 (registration form for the basic course: http://goo.gl/forms/mpKHnbT1Um) where this kind of knowledge can be gained. Moreover, there will be also a course on advanced analysis of proteomics data using R on 9th Nov. 2020 (registration form for the advanced course: https://forms.gle/3pkpVmWKdbShJwWz5). You can visit all three R courses or only one or two of them. In any case, you have to register for each of these courses separately.
More information
- Flyer:

- Registration: https://forms.gle/3e9Jqdx8cGYyUwmXA
- Hosts https://www.ruhr-uni-bochum.de/mpc/forschung/medical_bioinformatics/bioinfraprot.html.de