Design of high throughput experiments, analysis of the resulting large datasets, installation and use of standard bioinformatic programs, collection of clean datasets from private and public sources, execution of exploratory and analytical analyses. Critical thinking, open science, data-sharing and reproducible analysis, and acquisition of practical skills will be common themes.

Antirequisite(s): Medical Bioinformatics 3100A/B, Computer Science 4461A/B.

Prerequisite(s): Biochemistry 2280A; Biology 2581A/B; either Biology 2244A/B or Statistical Sciences 2244A/B.

Extra Information: Blended course, 1 lecture hour, 1 lab/tutorial hour, 1 hour online instruction.