BTRY 4840

BTRY 4840

Course information provided by the Courses of Study 2015-2016.

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.

  • 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
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 6840CS 4775

  • 4 Credits Stdnt Opt

  • 16915BTRY 4840  LEC 001

  • Prerequisite: BTRY 3010 and at least one course in algorithms.