Educators:
Michael Turewicz (bioinformatician) and Karin Schork (biostatistician) (BioInfra.Prot)
Date:
Monday, 18th Nov 2019
Location:
Ruhr University Bochum, 44801 Bochum
Contents:
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 and ANOVA)
• multiple testing
Learning goals:
• Independent usage of basic R functions including
• data import and export
• basic plots
• statistical tests
• Deeper understanding of statistical methods applied in differential analyses
Prerequisites:
• Basic understanding of high-dimensional data sets from quantitative proteomics or other life sciences;
• No prior knowledge on R required
• Please bring your own laptop for the hands-on exercises!
Keywords:
R; high-throughput data; omics; proteomics; differential analysis
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:
Advanced course:
The next day (Tuesday, 19th Nov 2019) we offer the course „Advanced analysis of quantitative proteomics data using R“ (https://forms.gle/3pkpVmWKdbShJwWz5). It’s the perfect opportunity to deepen your knowledge in R and in data analysis for proteomics data!
More information:
• Announcement
http://www.rub.de/mpc/medical_bioinformatics/bioinfraprot/training/index.html.de
• Flyer
• Registration
http://goo.gl/forms/mpKHnbT1Um
• Hosts
http://www.rub.de/mpc/medical_bioinformatics/index.html.de