Course Description
Introductory and intermediate-level topics in computational genomics, DNA and RNA sequence analysis, mapping, quantification, detection of variants and their associations with disease. Covers topics in machine-learning, probabilistic graphical models, gene regulatory network inference, and single cell analysis. Students conduct related independent research.
Quarter offered
Winter
Instructors
Joshua Stuart, David Haussler, Benedict Paten