|CSE Home||About Us||Search||Contact Info|
Course Email: email@example.com. Use this list to ask and/or answer questions about homework, lectures, etc. The instructor and TA are subscribed to this list. All messages are automatically archived. Questions not of general interest may be directed to the instructor and TA: cse527-staff or just to the instructor: ruzzo at cs. You can (and perhaps should) change your subscription options.
Catalog Description: Introduces computational methods for understanding biological systems at the molecular level. Problem areas such as mapping and sequencing, sequence analysis, structure prediction, phylogenic inference, regulatory analysis. Techniques such as dynamic programming, Markov models, expectation-maximization, local search. Prerequisite: graduate standing in biological, computer, mathematical or statistical science, or permission of instructor.
Textbook: Richard Durbin, Sean R. Eddy, Anders Krogh and Graeme Mitchison, Biological Sequence Analysis: Probabilistic models of proteins and nucleic acids, Cambridge, 1998. (U. Book Store, Amazon) Errata.
References: See Schedule & Reading.
Portions of the CSE 527 Web may be reprinted or adapted for academic nonprofit purposes, providing the source is accurately quoted and duly credited. The CSE 527 Web: © 1993-2006, Department of Computer Science and Engineering, University of Washington.
Computer Science & Engineering|
University of Washington
Seattle, WA 98195-2350
(206) 543-1695 voice, (206) 543-2969 FAX
[comments to cse527-webmaster at cs.washington.edu]