CS 4775

Last Updated

  • Schedule of Classes - December 22, 2024 7:33PM EST
  • Course Catalog - December 22, 2024 7:07PM EST

CS 4775
Computational Genetics and Genomics

Course information provided by the 2024-2025 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, CS 2110 or equivalents.

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 (BIO-AS, SDS-AS) (OPHLS-AG)

When Offered Fall.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BIOCB 4840, BIOCB 6840

  • 4 Credits Stdnt Opt

  •  9547 CS 4775   LEC 001

  •  

  • Instruction Mode: In Person

    Prerequisite: BTRY 3010 and CS 2110 or equivalents.

  •  9548 CS 4775   DIS 201

  •  
    • F Warren Hall 175
    • Aug 26 - Dec 9, 2024

    • Kim, J

  • Instruction Mode: In Person