Computational Systems Biology
Computational systems biology is a field that aims to provide an integrative, system-level understanding of biology through the modeling of experimental data. The course covers interacting systems by defining the basic structures of the biological network that allow a living cell to maintain homeostasis under different conditions and perturbations.
At the end of the course, students will be able to:
Apply graph theory algorithms to analyze a graph's basic statistical properties.
Build experimental models of molecular interactions using analysis of graph topology.
Reconstruct a gene expression network from time-dependent gene expression data.
Use metabolic control analysis to study small perturbations to a network.
Set up a model of a signal transduction network.
Evaluate possible significance within gene expression and signaling networks from real data and published examples.
> Direct link to course prerequisites.
> Buy your textbooks and other required course materials online from the Brandeis Bookstore ,or visit the bookstore in the Shapiro Campus Center.