Duration:
1 Semester | Turnus of offer:
each winter semester | Credit points:
5 |
Course of studies, specific field and terms: - Master MLS 2018 (optional subject), mathematics / computer science, 1st semester
- Master MLS 2016 (optional subject), interdisciplinary competence, 1st semester
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Classes and lectures: - Molecular Bioinformatics (exercise, 1 SWS)
- Molecular Bioinformatics (lecture, 2 SWS)
| Workload: - 45 Hours in-classroom work
- 85 Hours private studies
- 20 Hours exam preparation
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Contents of teaching: | - Methods for fast genome comparison
- Analysis of data describing gene expression profiles and sequence variation
- Advanced usage of biological databases (for sequences, motifs, structures, gene regulation and interactions)
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Qualification-goals/Competencies: - The students can apply indexing based software to Next Generation sequence data.
- They can use and design databases for molecularbiological research.
- They are able to detect statistically significant changes in Microarray data.
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Grading through: |
Requires: |
Responsible for this module: Teachers: |
Literature: - M. S. Waterman: Introduction to Computational Biology - London: Chapman and Hall 1995
- B. Haubold, T. Wiehe: Introduction to Computational Biology - Birkhäuser 2007
- R. Durbin, S. Eddy, A. Krogh, G. Mitchison: Biological sequence analysis. Probabilistic models - Cambridge, MA: Cambridge University Press
- J. Setubal, J. Meidanis: Introduction to computational molecular - Pacific Grove: PWS Publishing Company
- D. M. Mount: Bioinformatics - Sequence and Genome - New York: Cold Spring Harbor Press
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Language: - English, except in case of only German-speaking participants
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Notes:Prerequisites for the module: - nothing Prerequisites for admission to the written examination: - succesful work on the exercises Module exam: - CS4440-L1: Molekulare Bioinformatik, written exam, 90 min, 100 % module grade . |
Letzte Änderung: 3.6.2022 |
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