Molecular Systems Biology: Computation & Measurements for Understanding Cell Physiology and Disease
3 credits, meets twice a week
This project-based (MATLAB) class will introduce several current techniques for systems-level measurement of molecules and a set of computational techniques for inferring biological meaning from such experiments. The biology and measurement techniques for systems-level discovery of gene expression, metabolites, proteins and post-translational modifications, and regulatory RNA will be covered with a focus on understanding their involvement in cancer, diabetes, and inflammatory disorders. A range of computational topics, including dimensionality reduction techniques, correlations between measurements and outcomes, and network modeling and inference will be introduced and practiced in the course in order to understand how systems-level measurements can lead to inference in cell physiology. A working knowledge of molecular biology, differential equations, linear algebra, and statistics is required.