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
  • Section 01
    Joshua M Stuart (jstuart)
    David Haussler (haussler)
  • Section 01
    David Haussler (haussler)
    Joshua M Stuart (jstuart)
2020-21
  • Section 01
    David Haussler (haussler)
    Joshua M Stuart (jstuart)
  • Section 01
    David Haussler (haussler)
    Joshua M Stuart (jstuart)

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