Educators:
Prof. Dr. Benedikt Brors, Dr. Oliver Stegle (HD-HuB)
Date:
27.03 – 29.03.2019
Location:
Heidelberg University
Institute for Pharmacy and Molecular Biotechnology (IPMB)
Im Neuenheimer Feld 364
Room 542, 5th floor
69120 Heidelberg
Contents:
The course will teach a hands-on workflow for the analysis of the RNA-Seq and WGBS data. A short introduction to basic computer skills (R, command line, etc.) needed in the course will be taught during the first (optional) day. On day 2 and 3, tools used for interpretation and visualization will be introduced, these include software for the identification and integrative analysis of differential gene expression, gene fusions, and splicing variants as well as of epigenetic regulation of gene expression by differential methylation of CpG islands.
Learning goals:
The course will teach background knowledge on technologies used for data generation, analysis, visualization and interpretation of RNA-Seq and Bisulfite sequencing data. Commonly used tools for data interpretation will be presented and used in hands-on parts on provided data sets.
Prerequisites:
This workshop is intended for PhD students and postdocs with a background in life sciences, who are applying or planning to apply NGS technologies and bioinformatics methods in their research (preferentially in the context of cancer research). Previous experience in bioinformatics is not required, however, basic knowledge of Bash/Linux and R would be beneficial and we recommend checking these free tutorials:
• Introduction to the Unix environment – http://www.ee.surrey.ac.uk/Teaching/Unix/
• Basic R concepts – http://www.r-tutor.com/r-introduction
Keywords:
Next-generation sequencing, cancer research, RNA-Seq, whole genome bisulfite sequencing, methylome
Tools:
IGV, samtools, bedtools, DESeq2, methylCtools
Contact:
Evgeniya Denisova (
Ralitsa Langova (
Registration:
https://www.hd-hub.de/course-dates/3-all/42-data-interpretation-of-rnaseq-and-bisulfite-sequencing-data-in-cancer-research