ANALYSIS OF GENETIC DATA
This course will help graduate students develop the skills needed to analyze genetic data. Topics will be set to suit participants’ research interests. This can include many types of data: transcript abundance in cells, allele frequency in populations, sequence evolution in lineages, species composition in communities, and more. Activities are student-led and will include paper discussions, coding models and simulations, and research presentations. The course will help students design projects that use the power of genetic data The course will help students understand the processes that drive genetic change to design projects that use the power of genetic data. PREREQUISITE: Admission to a graduate program in Science or permission of the instructor HOURS OF CREDIT: 3 NOTE: Responsibility for this course rests with the Department of Biology
Sources
- Course catalogue ↗2026-2027