GEN242: Data Analysis in Genome Biology

Graduate course materials by Thomas Girke — University of California, Riverside

This course introduces computational approaches for analyzing genomics and related data. It covers core concepts, algorithms, reproducible data analysis workflows, and associated programming skills. Students gain practical experience in data analysis programming, visualization, and interpretation of genomics results.

Course components

Slides

Conceptual background for the course topics. The slides introduce key concepts and methods required for data analysis in genome biology and related fields.

Tutorials

Practicals that turn lecture concepts into executable analyses. The tutorials provide example code for data analysis, visualization, and reproducible reports.

Assignments

Exercises and course projects that apply the learned material to small research projects. Project topics change each year based on students’ interests.