(Formerly numbered M225.) Lecture, four hours; discussion, two hours; outside study six hours. Introduction to computational approaches in bioinformatics, genomics, and computational genetics through study of examples of computational approaches to interdisciplinary research in genetics and genomics. Topics include genome analysis, epigenomics, regulatory genomics, association analysis, association study design, isolated and admixed populations, population substructure, human structural variation, model organisms, and genomic technologies. Computational techniques and methods include those from statistics and computer science. Letter grading.
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