Introduction to Computational Molecular Biology
GENOME 541Department of Genome Sciences
University of Washington
Spring Quarter
Course description:
-
This course provides a survey of topics within the field of
computational molecular biology. The course is divided into five
two-week blocks, each devoted to a single topic and taught by a
different instructor. This year, the topics include
- protein structure,
- epigenomics,
- cancer genomics,
- phylogenetics, and
- population genetics.
Instructional staff
Please click on the links above for email addresses and office locations.
Meeting times and locations
Tuesday and Thursday, 10:30 - 11:50 am, Foege Building S110.
Prerequisites
GENOME 540 or permission of instructor.
Students must be able to write computer programs for data analysis. Some prior exposure to probability, statistics and molecular biology is highly desirable.
Course materials
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No textbook is required for this class.
Course requirements
- The entire course grade is based on the homework assignments, which are due weekly. No tests or exams.
- The homework assignments involve writing programs for data analysis, and running them on a computer that you have access to (we cannot provide computers). We don't require a specific language.
- Late homework will be accepted, but penalized. Specifically, each assignment is worth 100 points, from which 10 points will be deducted for each day (or fraction thereof) that you turn it in late. The maximum deduction for being late is 60 points (even if you are more than 6 days late).
- It is OK to run your program on someone else's input data file, and compare outputs to see if you get the same results. However, it is not OK to share programs or to get someone else to debug your program. A key part of the course is being able to write and debug your own programs for data analysis.
Examinations
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None.
Course grade
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10% for each homework assignment.
Home page
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The course home page can be found at
http://noble.gs.washington.edu/~noble/genome541.
A Canvas page is
at
https://canvas.uw.edu/courses/1372708.
Class schedule
All lectures will be delivered via Zoom, accessible via the Canvas page above. Lectures will be recorded and made available via Canvas.