- Schedule of Classes - June 18, 2019 7:14PM EDT
- Course Catalog - June 18, 2019 7:15PM EDT
Course information provided by the Courses of Study 2019-2020.
Computational methods for analyzing genetic and genomic data. Topics include sequence alignment, hidden Markov Models for discovering sequence features, motif finding using Gibbs sampling, phylogenetic tree reconstruction, inferring haplotypes, and local and global ancestry inference. Prior knowledge of biology is not necessary to complete this course.
When Offered Fall.
Prerequisites/Corequisites Prerequisite: BTRY 3010 and CS 2110 or equivalents.
Distribution Category (OPHLS-AG)
- Understand computational algorithms used for the analysis of genetic and genomic data
- Formulate computational approaches for solving problems in computational genomics
- Understand challenges and limitations in inference methods used in computational genetics and genomics
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Prerequisites: BTRY 3010 and CS 2110 or equivalents.
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