GCD8141: Computational Genomics

3 Credits

Genomic data is increasingly prevalent in biology today, and the ability to analyze and interpret genomic data is an important skill for a career in biology. This class will provide you with an overview of the emerging genomics field by review and discussion of seminal papers, combined with hands-on analysis of genomics data. At the end of this course, you will gain a broad view of cutting-edge research in the field of genomics, gain experience in analysis and interpretation of genomic data, and learn basic computer programming, data visualization, and bioinformatics skills using R and UNIX.

View on University Catalog

All Instructors

A- Average (3.819)Most Common: A (76%)

This total also includes data from semesters with unknown instructors.

25 students
SFDCBA
  • 5.54

    /6

    Recommend
  • 4.79

    /6

    Effort
  • 5.48

    /6

    Understanding
  • 5.39

    /6

    Interesting
  • 5.41

    /6

    Activities


      Contribute on our Github

      Gopher Grades is maintained by Social Coding with data from Summer 2017 to Summer 2025 provided by the University in response to a public records request

      Not affiliated with the University of Minnesota

      Privacy Policy