Data Structures and Algorithms in Bioinformatics

Catalog description

This course covers algorithmic and data structure techniques that underpin modern biological data analysis. Topics covered include clustering, string searching, tree traversal, maximum parsimony, maximum likelihood, hidden Markov models, and version tracking. Some of the biological applications will include sequence alignment and assembly, phylogeny, gene finding, and variation detection.