An introduction to classic problems encountered when studying biological data in the wake of the high-throughput data generation over the past 20 years. Examples include inference of phylogenetic trees, gene finding, thermodynamic RNA secondary structure prediction, and analysis of mass spectrometric peptide sequence, protein sequence, or glycoconjugate data.
Prerequisite Courses