10. Lecture WS 2008/09Bioinformatics III1 V10 Transcriptional regulatory networks - introduction Typical promoter region of a prokaryotic gene. The TTGACA.
2. Lecture WS 2003/04Bioinformatics III1 Review of Genome Language and some Facts Life is specified by genomes. Every organism, including humans, has a.
18. Lecture WS 2006/07Bioinformatics III1 V18 Stochastic simulations of cellular signalling Traditional computational approach to chemical/biochemical.
1. Lecture WS 2008/09Bioinformatics III1 Bioinformatics III “Systems biology” “Cellular networks” “Computational cell biology” Course will teach mathematical.
11. Lecture WS 2014/15 Bioinformatics III1 V11 Menger’s theorem Borrowing terminology from operations research consider certain primal-dual pairs of optimization.
8. Lecture WS 2010/11Cellular Programs1 Already simple genetic circuits can give rise to oscillations. E.g., a negative feedback loop X R ─┤ X can yield.
3. Lecture WS 2008/09Bioinformatics III1 V3 From Protein Complexes to Networks and back Protein networks could be defined in a number of ways (1) Co-regulated.
26. Lecture WS 2006/07Bioinformatics III1 Synthetic biologists engineer complex artificial biological systems to investigate natural biological phenomena.
1. Lecture WS 2006/07Bioinformatics III1 Bioinformatics III “Systems biology” “Integrative cell biology” “Cellular networks” “Computational cell biology”
20. Lecture WS 2008/09Bioinformatics III1 V20 Metabolic Pathway Analysis (MPA) Metabolic Pathway Analysis searches for meaningful structural and functional.
26. Lecture WS 2003/04Bioinformatics III1 Network Wrap-Up No lecture Tuesday next week (10.2.) Questions about lectures 1-12 on 12.2. Questions about lectures.
25. Lecture WS 2003/04Bioinformatics III1 Integrating Protein-Protein Interactions: Bayesian Networks - Lot of direct experimental data coming about protein-protein.