Lecture: Introduction to data driven life sciences
Lecturers
Anika Erxleben, Bérénice Batut, Björn Grüning, Mehmet Tekman, Wolfgang Maier, Stephan Flemming, Alireza Khanteymoori, Rolf Backofen
Tutors
Joachim Wolff, Anup Kumar, Simon Bray
Dates
- 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.
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.
Location
The lecture is hosted in SR 00 007 building 106.
Requirements
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.
Schedule:
| Date |
Topic |
Exercise |
| 22.10.2019 |
Introduction to biological data analysis |
30.10.2019 |
| 29.10.2019 |
Introduction to sequencing |
06.11.2019 |
| 05.11.2019 |
Introduction to big data analysis in bioinformatics |
13.11.2019 |
| 12.11.2019 |
HTS related algorithms and read mapping I |
20.11.2019 |
| 19.11.2019 |
HTS related algorithms and read mapping II |
27.11.2019 |
| 26.11.2019 |
Assembly I |
04.12.2019 |
| 03.12.2019 |
Assembly II |
11.12.2019 |
| 10.12.2019 |
RNA-Seq I |
18.12.2019 |
| 17.12.2019 |
RNA-Seq II |
08.01.2020 |
| 07.01.2020 |
Variant calling |
15.01.2020 |
| 14.01.2020 |
Epigenetics |
22.01.2020 |
| 21.01.2020 |
ChIP-Seq |
29.01.2020 |
| 28.01.2020 |
Single cell RNA-Seq: Introduction |
05.02.2020 |
| 04.02.2020 |
Single cell RNA-Seq: Methods and Machine Learning |
12.02.2020 |
| 11.02.2020 |
Microbiomics |
19.02.2020 |
Additional Information and Material
Lecture slides and exercise sheets
All slides and exercise sheets are hosted on Ilias.
