5th Differential analysis of quantitative proteomics data using R

Educators:
Michael Turewicz (bioinformatician) and Karin Schork (biostatistician) (BioInfra.Prot)

Date:
Monday, 2nd Nov 2020

Location:
Online

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)
    • 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
    • Computer with stable internet connection, headset and camera

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:
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 is limited to 25.

Related courses:
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.

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