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RBIF 108

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.

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