Bioinformatics for Metabolomics and Fluxomics E’ ? ? ? ? ? ? A?C? E ABCD E v1v1 v2v2 v3v3 v4v4 v5v5 v6v6 v7v7 ABCD E RL 1; metabolite identification RL.
Project report: Investigating the effect of cellular objectives on genome-scale metabolic models
PhD Thesis K.M.Koczula
Introduction to Steady State Metabolic Modeling Concepts Flux Balance Analysis Applications Predicting knockout phenotypes Quantitative Flux Prediction.
1. Lecture WS 2008/09Bioinformatics III1 Bioinformatics III “Systems biology” “Cellular networks” “Computational cell biology” Course will teach mathematical.
1. Lecture WS 2006/07Bioinformatics III1 Bioinformatics III “Systems biology” “Integrative cell biology” “Cellular networks” “Computational cell biology”
Genetic modification of flux (GMF) for flux prediction of mutants Kyushu Institute of Technology Quanyu Zhao, Hiroyuki Kurata.
Bioinformatics III “Systems biology” “Cellular networks” “Computational cell biology”
Course will teach mathematical methods that are applied
Bioinformatics III “Systems biology”,“Integrative cell biology”
1. Lecture WS 2004/05Bioinformatics III1 Bioinformatics III “Systems biology”,“Integrative cell biology” Course will address two areas: 25% genomics: single.
