Bioinformatic methods for processing, analyzing, and integrating epigenomic data, the additional gene regulatory information beyond gene sequences. Students are introduced to best practices for quality control, regression analyses, differential analysis, and methods for functional enrichment. Data analysis will primarily use the R statistical programming language.

Prerequisite(s): Biology 2581A/B; one of Biology 2244A/B, Statistical Sciences 2244A/B, Statistical Sciences 2858A/B; and registration in Year 4 of a BMSc, BHSc, or BSc degree.

Extra Information: 2 lecture hours, 2 laboratory hours per week.