Bioinformatics 3

Familiarity with contents of Bioinformatik I and II. The students will have to complete programming assignments with Python. This course can be taken as part of the Master program Bioinformatics.

The course will cover methodological aspects of integrated biology and systems biology:

• protein-protein interaction networks (mathematical graphs, Bayesian networks)
• analysis of protein complexes (density fitting, Fourier transformation)
• transcriptional regulatory networks (Boolean networks) including epigenetic processes and micro RNAs
• dynamic simulation of cellular processes (differential equation solvers, stochastic simulations)
• metabolic networks (linear algebra)

There will be four 45-minutes tests on different parts of the lecture. An averaged score will be computed from the best three results of the four tests. This score will count 50% for the grade of certification (“Schein”). The other 50% are taken from the mark in the final exam (120 min) that will (mostly) cover the material of the assignments.

(a) successful participation in 3 out of the 4 tests, (b) at least half of the points of the assignments. Solutions have to be returned at the beginning of the following Friday´s lecture.  In addition each student has to solve one of these problems on the blackboard.

V. Helms, Principles of Computational Cell Biology, Wiley (2008)

9 (4 V + 2 Ü)

This course is taught in English language.