Topic 5
Section outline
-
Wednesday 31 August 2016
09:00 - 10:30 Hybrid Models of Metabolic Networks
Jörg Stelling (Computational Systems Biology Group, SIB & ETH Zurich D-BSSE, Basel)Details:
1. FBA and its variants: Mathematical foundations, linear and non-linear optimization
2. Incorporating experimental data: metabolic flux analysis, integration of -omics data
3. Toward hybrid models: regulatory logig, dynamic FBA10:30 - 11:00 Coffee break 11:00 – 12:30 Continued 12:30 – 14:00 Lunch 14:00 - 17:00 Mini-Symposium
14:00 - 14:40
A hierarchy of decisions that impact the accuracy of tissue-specific metabolic models.
Prof. Nathan E. Lewis
Systems biochemistry and cell engineering lab, University of California, San Diego14:40 - 15:20
Automated generation of realistic models.
Prof. Dr. Jörg Stelling
Computational Systems Biology Group, SIB & ETH Zurich D-BSSE, Basel15:20 - 15:40
Break15:40 - 16:20
Towards a more accurate prediction of the biotransformation of chemical contaminants - What can we learn from combining data mining, analytical chemistry and biology tools?
Dr. Kathrin Fenner
Department Environmental Chemistry, EAWAG, Dübendorf16:20 - 17:00
Gene Ontology: biases, pitfalls, remedies.
Prof. Christophe Dessimoz,
Computational Evolutionary Biology and Genomics, SIB & Department of Ecology and Evolution, University of Lausanne