CS 4775

CS 4775

Course information provided by the Courses of Study 2020-2021.

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, CS 2110 or equivalents.

Distribution Category (PBSS-AS)

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

View Enrollment Information

Enrollment Information
Syllabi: 2 available
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 4840BTRY 6840

  • 4 Credits Stdnt Opt

  • 10951CS 4775  LEC 001

  • Instruction Mode: Hybrid-Online and In Person
    Hybrid: rotational in person attendance to be determined by instructor. Prerequisites: BTRY 3010 and CS 2110 or equivalents.
    Enrollment limited to students who are able to attend in-person classes in the Ithaca area.

  • 21392CS 4775  LEC 002

    • TROnline Meeting
    • Sep 2 - Dec 16, 2020
    • Williams, A

  • Instruction Mode: Online

  • 10952CS 4775  DIS 201

    • FOnline Meeting
    • Sep 2 - Dec 16, 2020
    • Williams, A

  • Instruction Mode: Online