BTRY 6840

Last Updated

  • Schedule of Classes - January 9, 2020 9:13AM EST
  • Course Catalog - January 9, 2020 9:14AM EST

BTRY 6840
Computational Genetics and Genomics

Course information provided by the 2019-2020 Catalog.

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.


Prerequisites/Corequisites Prerequisite: BTRY 3010 and at least one course in algorithms.

Outcomes

  • 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

Distribution Category (OPHLS-AG)

When Offered Fall.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 4840, CS 4775

  • 4 Credits Stdnt Opt

  •  3751 BTRY 6840   LEC 001

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  • Instruction Mode: In Person

    Prerequisites: BTRY 3010, CS 2110 or equivalents.

  •  3752 BTRY 6840   DIS 201

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  • Instruction Mode: In Person