Michael Turewicz (bioinformatician) and Karin Schork (biostatistician) (BioInfra.Prot)
Monday, 2nd Nov 2020
This course will impart knowledge about how to conduct a differential analysis of high-throughput quantitative proteomics data using R. As we start with a basic introduction to the popular statistical programming language, no prior knowledge on R is required.
The statistical background on utilized methods is explained in order to enable the participants to assess their own as well as published workflows critically. In this regard the course will touch upon
• statistical inference: hypotheses, type I and II error
• location tests (t-test)
• multiple testing
• Independent usage of basic R functions including
- data import and export
- basic plots
- statistical tests
• Deeper understanding of statistical methods applied in differential analyses
• Basic understanding of high-dimensional data sets from quantitative proteomics or other life sciences;
• No prior knowledge on R required
• Computer with stable internet connection, headset and camera
R; high-throughput data; omics; proteomics; differential analysis
download and more information on R here:
We recommend using an editor such as RStudio, see
Number of participants is limited to 25.
There will be an advanced R course on 9th Nov. 2020 (registration form for the advanced course: https://forms.gle/3pkpVmWKdbShJwWz5). Moreover, there will be also a course on data visualization using R on 7th Dec. 2020 (registration form for the data visualization course: https://forms.gle/3e9Jqdx8cGYyUwmXA). 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.