MCB 517A: Tools for Computational Biology

Description

This course will introduce students to established best practices in computational biology. Students will learn to organize unstructured data into standard formats, transform data for statistical analyses, and visualize the transformed data. Students will learn workflows for reproducible research such as version control, project organization, and code documentation. Students will gain basic experience with Linux command line tools and the Python and R programming languages. Classes will involve hands-on learning through coding exercises, collaborative problem solving, and extensive use of online learning resources.

Details

Credits:

3.0

Quarter:

Autumn

Weeks:

1-5

Location:

Fred Hutch

Time:

T Th, 3-4:40pm

Foundational For:

    array(3) { ["id"]=> string(1) "9" ["aoi_title"]=> string(21) "Computational Biology" ["pod_item_id"]=> string(1) "9" }
  • Computational Biology

Elective For:

  • Computational Biology

Course Attributes:

  • Graded
  • Lecture