Algorithms in Computational Biology
This course introduces the foundations of algorithmic techniques and analysis, as motivated by biological problems. Topics include dynamic programming, tree and graph algorithms, sequence analysis, hidden markov models. Motivations include sequence alignment, motif finding, gene prediction, and phylogeny.
Prerequisite(s): BCB 5250
|Fall 2019||Tae-Hyuk (Ted) Ahn||TR 2:15pm-3:30pm|
|Fall 2018||Erin Wolf Chambers||TR 2:15pm-3:30pm|
|Fall 2017||David Letscher||MWF 1:10pm-2:00pm|
|Fall 2016||David Letscher||MWF 12:00pm-12:50pm|