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.
 
Requirements
Prerequisite(s): BME 205. Enrollment is restricted to juniors, seniors, and graduate students.
 
Credits
5
 
Quarter offered
Winter
 
Instructors
Joshua Stuart, David Haussler, Benedict Paten