BME205: Bioinformatics Models and Algorithms

*****COURSES ARE SUBJECT TO CHANGE*****

Covers bioinformatics models and algorithms: the use of computational techniques to convert the masses of information from biochemical experiments (DNA sequencing, DNA chips, and other high-throughput experimental methods) into useful information. Emphasis is on DNA and protein sequence alignment and analysis. Enrollment restricted to graduate students. Undergraduates may enroll with prerequisite(s): Computer Science 12B; and Computer Engineering 107 or Applied Math and Statistics 131; and Biology 20A; and concurrent enrollment in Biochemistry 100A.

5 Credits

YearFallWinterSpringSummer
2017-18
2016-17
2015-16
2014-15
2013-14
2012-13
2011-12
2010-11
2009-10
2008-09
  • Section 01
    Kevin Karplus (karplus)
    Telecast to Los Alamos
2007-08
2006-07
2005-06
Comments

pending pre-requisite(s) changes:

course 205

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