Provides hands-on experience applying common computational techniques to sequence datasets generated by research labs or found in public databases. Offers opportunities to develop computational skills and practices through independent research projects that culminate in presentations and research papers. Emphasizes best practices and collaborative approaches in computational work through peer sharing of ideas, navigating obstacles, and interpreting results. Topics include read mapping, counts normalization, differential expression analysis, phylogenetic analysis, and the tools, workflows, and basic statistics involved in these approaches.