Biological data analysis with R
The purpose of this course is to teach how the R statistical environment can be applied to biological data analysis. After this course, the students will be able to use R for analyzing diverse data types from very different biological experiments. The topics will introduce the theoretical aspects of the introduced methodologies, and after that, assignments and activities will provide opportunities to explore the practical ways of performing the analyses
You will learn how to use R for performing statistical analysis relevant for molecular biologists. You will learn how to perform simple sequence analysis with R. You will get an essential overview of biological network analysis and the highly popular enrichment analysis of gene lists.
Course length: 6 weeks
Suggested background knowledge: essentials of molecular biology, essentials of evolution, usage of command line, knowledge about biological databases
- Week 1 - Introduction to R: Installation, package management, basic operations
- Week 2 - Sequences and sequence analysis
- Week 3 - Annotating gene groups: Ontologies, pathways, enrichment analysis
- Week 4 - Proteomics: mass spectometry
- Week 5 - Reconstructing gene regulation networks
- Week 6 - Network analysis: iGraph
Special requirement: You will have to use the R software for the practical parts of this course. R is a free software programming language and a software environment for statistical computing and graphics. You have to be able to install this free software on your computer.