26/03/2019 - 29/03/2019
IPMB, Heidelberg University
Im Neuenheimer Feld 364
Data Interpretation of RNASeq and Bisulfite Sequencing Data in Cancer Research
Last revised: 2019-04-14 09:50:23
Location: IPMB, Heidelberg University, Room 542, 5th floor
Available seats: 20
Date: 27.03.2019 – 29.03.2019
Institute for Pharmacy and Molecular Biotechnology (IPMB), Im Neuenheimer Feld 364, Room 542, 5th floor, 69120 Heidelberg
Prof. Dr. Benedikt Brors, Dr. Oliver Stegle
Evgeniya Denisova (email@example.com)
Ralitsa Langova (firstname.lastname@example.org)
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.
The course will teach background knowledge on technologies used for data generation, analysis, visualization and interpretation of RNASeq and Bisulfite sequencing data. Commonly used tools for data interpretation will be presented and can be used in hands-on parts on provided data sets.
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
Please register for the course using the registration form on this page.
If the course is fully booked, please email Evgeniya Denisova by emailing email@example.com, so that she can add you in the waiting list.