This short course will provide an overview of metabolic network
analysis, a topic at the intersection of computational biology, systems
biology and mathematical modelling. It will go into detail into the
modeling and analysis of metabolic networks in the constraint-based
formalism, which complement metabolomics data analysis. By the end of
the course the students will have an appreciation for the advantages and
shortcomings of metabolic network models, the tools used for their
analysis, and the open problems currently facing the field. They will
also learn the use of Mongoose, an open-source metabolic network
analysis platform (mongoose.csail.mit.edu).
Tentative Schedule
Day 1: Metabolic network analysis formalisms
topological analysis and deficiency zero theorem
biochemical systems analysis and control theory
constraint-based formalism and flux balance analysis
Day 2: Structural analysis of metabolic network models
blocked reactions classification
enzyme and isozyme subsets
redundant constraint identification
Day 3: Troubleshooting metabolic network models
unblocking blocked reactions
identifying and correcting “free lunches”
network reconciliation and refinement
Day 4: Extensions
inclusion of thermodynamic constraints
metabolic engineering applications
enumeration of elementary modes and minimal cut sets
Frequency | Weekday | Time | Format / Place | Period |
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Module | Course | Requirements | |
---|---|---|---|
39-Inf-MIKE Modularisierter individueller Kompetenz-Erwerb (MiKE) | - | Ungraded examination | Student information |
39-M-Inf-MIKE Modularisierter individueller Kompetenz-Erwerb (MiKE) | - | Ungraded examination | Student information |
39-M-MBT-MIKE Modularisierter individueller Kompetenz-Erwerb (MiKE) | - | Ungraded examination | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
---|---|---|---|---|---|---|---|
Bioinformatik / Promotion | Lecture/seminar | Wahl | 1 | unbenotet Graduierte |