Prerequisites: GEN 241; graduate standing
Description: Introduction to algorithms, statistics, and data analysis programming for genomics. Covers the theory of analyzing large-scale genomics, profiling, phylogenetics, and drug discovery data. Introduces the corresponding data analysis programming techniques using command-line tools on a computer cluster and the programming environment R.