CS 4775

CS 4775

Course information provided by the Courses of Study 2016-2017.

Computational methods for analyzing genetic and genomic data.  Topics include sequence alignment, hidden Markov Models for discovering sequence features, inferring haplotypes and local ancestry, genotype imputation, gene and motif finding, and phylogenetic tree reconstruction. Prior knowledge of biology is not necessary to complete this course.

When Offered Fall.

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

Distribution Category (PBSS-AS)

  • 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: none
  •   Choose one lecture and one discussion. Combined with: BTRY 4840BTRY 6840

  • 4 Credits Stdnt Opt

  • 13061CS 4775  LEC 001

  • Prerequisites: BTRY 3010 and CS 2110 or equivalents.