BME281C: Seminar in Cancer Genomics
Presents current computational biology research to identify genomics-based signatures of cancer onset, progression, and treatment response. Examples of such investigations include: genetic pathway interpretation of multivariate high-throughput datasets; discovery of mutations in whole-genome sequence; identifications and quantification of gene isoforms, alleles, and copy number variants; and machine-learning tools to predict clinical outcomes. Students present their own research, host journal clubs, and attend lectures and teleconferences to learn about research conducted by national and international projects. Enrollment restricted to graduate students.2 credits
| Year | Fall | Winter | Spring | Summer |
|---|---|---|---|---|
| 2021-22 |
|
|
||
| 2020-21 |
|
|
While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.