Lecture: Introduction to data driven life sciences
Rolf Backofen, Anika Erxleben, Bérénice Batut, Torsten Houwaart, Björn Grüning
- lecture: Tuesdays 10-12:00 ct
- exercise: Wednesdays 14-16:00 ct
Topic and Objectives
In biological and medical research big data analysis is urgently needed for understanding the information that is encoded in the molecules of life. Many diseases, such as cancer, are caused by aberrations in those molecules. In this lecture you will learn the theoretical biological and bioinformatics background and techniques for generation and analysis of high-throughput data in life sciences. In the exercises, you will have to solve tasks related to the lectures with and without the help of the data analysis platform Galaxy (https://galaxy.uni-freiburg.de).
This module has 6 ECTS credit points (180 hours of workload) for students of the technical faculty. The written or oral exam will take place after the lecture series.
No. But the lectures and exercises Bioinformatics I & II from Prof Backofen would be very beneficial and give a good basic knowledge about background algorithms etc.
||NGS processing: QC, mapping
||RNA Seq I
||RNA Seq II
||Summary, Discussion, Questions
Additional Information and Material