Bringing Genomes To Life - Reconstruction and application of genome-scale networks

This course will provide hands-on experience combining mathematical modeling with experimental data, emphasizing kinetic modeling of cellular pathways, tought by world experts in the field of Systems Biology.

Metabolic reconstructions are a common denominator in systems biology. They represent biochemically, genetically and genomically structured knowledge-bases that capture current knowledge about an organism. Laboratories around the world are reconstructing metabolic networks for their organisms of interest, thus, there is an increasing need of researchers being familiar with the reconstruction process.

These metabolic networks can be readily converted into mathematical models and then used to investigate the genotype-phenotype relationship. This course will teach the reconstruction process and different modeling techniques employed in these areas. Recently, approaches have been developed to investigate dynamics states of genome-scale metabolic networks. Basics methods are introduced in the course. The following five modules will be covered during the course:

  • High-throughput data types
  • Reconstruction and model formulation
  • Topological and steady state analysis
  • Analysis of dynamic states
  • Optional Module: Primer on Linear Algebra and Matlab

The course targets PhD students and post-docs from various scientific backgrounds. In particular, the course is oriented towards students interested in interdisciplinary research spanning biology, mathematics, and computer science.

Knowledge in these three areas is not required since the course teaches the necessary background and basic principles.

Read more details about the course here

Facts about the project

Project number: 31900

Project leader

Ines Thiele, University of Iceland, Iceland