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This entry is from Winter semester 2016/17 and might be obsolete. No current equivalent could be found.

CS 541 — Methods of Bio-Informatics
(dt. Methoden der Bioinformatik)

Level, degree of commitment Advanced module, compulsory elective module
Forms of teaching and learning,
Lecture (4 SWS), recitation class (2 SWS),
270 hours (90 h attendance, 180 h private study)
Credit points,
formal requirements
9 CP
Course requirement(s): Oral or written examination
Examination type: Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks.
The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Computer Science.
One semester,
Regelmäßig alle 2 Semester
Person in charge of the module's outline Prof. Dr. Alfred Ultsch


Fundamentals and importance of bioinformatics for obtaining, managing and analyzing genomic and molecular biology data, molecular biology fundamentals, pairwise and multiple alignment of sequences using dynamic programming, heuristic methods of sequence comparison, methods of phylogenetic analysis, hidden Markov models and their applications, analysis of gene expression data, structure-based bioinformatics, introduction to systems biology.

Qualification Goals

Students will

  • Recognize the importance of bioinformatics to modern life sciences,
  • become familiar with the special properties of molecular biological data,
  • become familiar with important problem classes such as sequence analysis, structural analysis, expression analysis and phylogenetic analysis,
  • learn the main algorithmic and methodological principles of bioinformatics, especially sequence analysis,
  • apply informatics methods independently to molecular biology problems.
  • Interdisciplinary skills will be acquired. Students practice scientific working methods (recognizing, formulating, solving problems, training the ability to abstract) and train oral communication skills in the exercises by practicing free speech in front of an audience and during discussions.


Translation is missing. Here is the German original:

Keine. Empfohlen werden Grundkenntnisse in Algorithmen und Datenstrukturen. Die wichtigsten molekularbiologischen Grundlagen werden rekapituliert, entsprechende Vorkenntnisse daher nicht vorausgesetzt. Grundkenntnisse in Wahrscheinlichkeitsrechnung, Knowledge Discovery, und Datenbionik sind hilfreich, aber nicht notwendig.


Module imported from B.Sc. Computer Science.

It can be attended at FB12 in study program(s)

  • B.Sc. Computer Science
  • M.Sc. Computer Science
  • M.Sc. Mathematics
  • LAaG Computer Science

When studying M.Sc. Mathematics, this module can be attended in the study area Minor subject Computer Science.

Recommended Reading

  • M. T. Hütt, M. Dehnert. Methoden der Bioinformatik. Springer, 2006.
  • A.M. Lesk. Bioinformatik: Eine Einführung. Spektrum Akademischer Verlag, 2002;
  • R. Merkl, S. Waack. Bioinformatik Interaktiv: Algorithmen und Praxis. Wiley-VCH, 2003;
  • R. Rauhut. Bioinformatik: Sequenz-Struktur-Funktion. Wiley-VHC, 2001;
  • J. Xiong. Essential Bioinformatics. Cambridge University Press. 2006.

Please note:

This page describes a module according to the latest valid module guide in Winter semester 2016/17. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

  • Winter 2016/17
  • Summer 2018 (no corresponding element)
  • Winter 2018/19 (no corresponding element)
  • Winter 2019/20 (no corresponding element)
  • Winter 2020/21 (no corresponding element)
  • Summer 2021 (no corresponding element)
  • Winter 2021/22 (no corresponding element)
  • Winter 2022/23 (no corresponding element)
  • Winter 2023/24 (no corresponding element)

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.