Introduction to Bioinformatics
Einführung in die Bioinformatik
6 CPWinterEN
Prerequisites
Recommended, as written
Good knowledge of discrete probability, algorithms and data structures at the undergraduate level. Advanced knowledge of programming in Python and the Linux command line.
Contents
The focus will be on the basics of the following areas: • An introduction to molecular biology including relevant scientific instruments and the Omics-data generated by them. • Pair-wise and multiple sequence alignments, seed-and-extend approaches, and genome indexes • Evolutionary models and phylogenetic trees • Signals in sequences: identification of motifs • Assembly of genomes and transcriptomes • Gene expression analysist
Learning outcomes
After successfully completing the module, students have acquired an overview of the fundamentals of bioinformatics. This includes an introduction to relevant molecular processes, scientific instruments to investigate these processes, and the data generated by them. For central computational problems, students are able to discuss advantages and disadvantages of statistical and basic algorithmic approaches, respectively adapt them to specific biological questions. Students are able to analyze specific biological data using appropriate software libraries for Python.
Assessment
• Written examination, 120 min. OR • Oral examination, 30-45 min. The examination format will be announced during the first lecture.
Literature (3)
- Biological Sequence Analysis. Durbin, Eddy, Krogh, Mitchison (1998)
- Statistical Methods in Bioinformatics. Ewens and Grant (2005)
- Review and Original Research Articles
Remarks
• Study programme Informatik M.Sc.: Compulsory elective module in complex „Praktische Informatik“
Source: BTU's module description · retrieved 29 Sep 2026Original