*****COURSES ARE SUBJECT TO CHANGE*****
Introductory and intermediate level topics in computational genomics, DNA and RNA sequence analysis, mapping, quantification, detection of variants and their associations with disease. Topics in machine-learning, probabilistic graphical models, gene regulatory network inference, and single cell analysis are covered. Students conduct independent related research as part of the course. Prerequisite(s): BME 205. Prerequisites can be waived in cases where students have required programming skills.
5 Credits
Year | Fall | Winter | Spring | Summer |
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2021-22 |
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2020-21 |
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2019-20 |
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2018-19 |
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2017-18 |
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