In the era of high-throughput genomics, proteomics, and transcriptomics, we can now computationally explore biological processes at a systems level. Networks, or graphs, have become a dominant mathematical representation in this area of research. We will draw on the vast amount of established graph theory to learn about network models currently applied to biological systems. The labs will consist of group work to build a collection of biological networks from public data, implement foundational graph algorithms, and interpret computational results.

Fall 2017 Course Details

Anna Ritz: aritz-at-reed-dot-edu
Time & Place
Lecture MWF 10:00am-10:50am, ETC 208 Bio 200A
Lab: Tu 1:10pm-5:00pm, ETC 208 Bio 200A
Office Hours
TBD, Bio 200B
Or email Anna to set up a time
Analysis of Biological Networks
Edited by Björn H. Junker and Falk Schrieber
John Wiley & Sons, Inc, 2008
This textbook is freely available through Reed's subscription to the Wiley Online Library.
Course details, homeworks, and additional readings are available on Moodle
Course Syllabus
Collaboration Policy
Google Calendar and Schedule of Topics