Foundations of Bioinformatics

1 credits · Graduate Programs

An exploration of the algorithmic foundations of established and emerging bioinformatics techniques, spanning dynamic programming, stochastic processes, probabilistic modelling, Bayesian inference, machine learning, and other topics from computational statistics. Big versus small data, divergent philosophical perspectives, and recent controversies in genomics are addressed through in-class discussions, current literature, and self-directed workshops. Prerequisite(s): Admission to the Bioinformatics specialization of the Biochemistry and Molecular Biology graduate program; or some computational background including programming or scripting ability and consent of the faculty. Also known as: (formerly Medical Science 679)