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The top documents tagged [lecture ws]

10. Lecture WS 2008/09Bioinformatics III1 V10 Transcriptional regulatory networks - introduction Typical promoter region of a prokaryotic gene. The TTGACA
10. Lecture WS 2008/09Bioinformatics III1 V10 Transcriptional regulatory networks - introduction Typical promoter region of a prokaryotic gene. The TTGACA
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2. Lecture WS 2003/04Bioinformatics III1 Review of Genome Language and some Facts Life is specified by genomes. Every organism, including humans, has a
2. Lecture WS 2003/04Bioinformatics III1 Review of Genome Language and some Facts Life is specified by genomes. Every organism, including humans, has a
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18. Lecture WS 2006/07Bioinformatics III1 V18 Stochastic simulations of cellular signalling Traditional computational approach to chemical/biochemical
18. Lecture WS 2006/07Bioinformatics III1 V18 Stochastic simulations of cellular signalling Traditional computational approach to chemical/biochemical
217 views
1. Lecture WS 2008/09Bioinformatics III1 Bioinformatics III “Systems biology” “Cellular networks” “Computational cell biology” Course will teach mathematical
1. Lecture WS 2008/09Bioinformatics III1 Bioinformatics III “Systems biology” “Cellular networks” “Computational cell biology” Course will teach mathematical
220 views
11. Lecture WS 2014/15 Bioinformatics III1 V11 Menger’s theorem Borrowing terminology from operations research consider certain primal-dual pairs of optimization
11. Lecture WS 2014/15 Bioinformatics III1 V11 Menger’s theorem Borrowing terminology from operations research consider certain primal-dual pairs of optimization
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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
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
214 views
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
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
217 views
26. Lecture WS 2006/07Bioinformatics III1 Synthetic biologists engineer complex artificial biological systems to investigate natural biological phenomena
26. Lecture WS 2006/07Bioinformatics III1 Synthetic biologists engineer complex artificial biological systems to investigate natural biological phenomena
220 views
1. Lecture WS 2006/07Bioinformatics III1 Bioinformatics III “Systems biology” “Integrative cell biology” “Cellular networks” “Computational cell biology”
1. Lecture WS 2006/07Bioinformatics III1 Bioinformatics III “Systems biology” “Integrative cell biology” “Cellular networks” “Computational cell biology”
221 views
20. Lecture WS 2008/09Bioinformatics III1 V20 Metabolic Pathway Analysis (MPA) Metabolic Pathway Analysis searches for meaningful structural and functional
20. Lecture WS 2008/09Bioinformatics III1 V20 Metabolic Pathway Analysis (MPA) Metabolic Pathway Analysis searches for meaningful structural and functional
214 views
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
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
213 views
25. Lecture WS 2003/04Bioinformatics III1 Integrating Protein-Protein Interactions: Bayesian Networks - Lot of direct experimental data coming about protein-protein
25. Lecture WS 2003/04Bioinformatics III1 Integrating Protein-Protein Interactions: Bayesian Networks - Lot of direct experimental data coming about protein-protein
213 views