BIOCB 4840

Last Updated

  • Schedule of Classes - January 5, 2026 3:59PM EST
  • Course Catalog - May 29, 2024 10:20AM EDT

BIOCB 4840
Computational Genetics and Genomics

Course information provided by the 2025-2026 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 CS 2110 or equivalents.

Last 4 Terms Offered 2025FA, 2024FA, 2023FA, 2022FA

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: BIOCB 6840, CS 4775

  • 4 Credits Stdnt Opt

  •  6336 BIOCB 4840   LEC 001

  •  
    • TR
    • Aug 25 - Dec 8, 2025

    • Kim, J

  • Instruction Mode: In Person

    Prerequisite: BTRY 3010 and CS 2110 or equivalents.

  •  6337 BIOCB 4840   DIS 201

  •  
    • F
    • Aug 25 - Dec 8, 2025

    • Kim, J

  • Instruction Mode: In Person