Credits: 5

Schedule: 29.10.2019 - 16.12.2019

Teaching Period (valid 01.08.2018-31.07.2020): 

II (Autumn)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

The course provides you with basic understanding of high-throughput data and computational methods that are commonly used for analysing the data in biological and biomedical problems. After the course you have skills to apply various computational methods in real biological problems and study the field further.

Content (valid 01.08.2018-31.07.2020): 

The course introduces computational and statistical methods for analyzing modern high-throughput biological data and their use in systems biology. The course covers microarray, high-throughput sequencing (HTS), single-cell and mass-spectrometry technologies and computational methods for HTS data alignment, genotyping, gene expression analysis, chromatin immunoprecipitation sequencing, epigenetics and proteomics. Relevant high-throughput measurement technologies are reviewed during the course.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Examination and exercise work.

Workload (valid 01.08.2018-31.07.2020): 

24 + 12 (4 + 2)

Study Material (valid 01.08.2018-31.07.2020): 

To be specified in MyCourses at the start of the course.

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

Replaces former course CS-E5870 / T-61.5050 High-Throughput Bioinformatics.

Prerequisites (valid 01.08.2018-31.07.2020): 

Basics in mathematics, statistics, computer science and programming. CS-E5860 Computational Genomics is preferred.

Grading Scale (valid 01.08.2018-31.07.2020): 



Registration and further information