BME 205 (formerly 100+100L) Home Page

Bioinformatics: Models and Algorithms (formerly Intro to Bioinformatics)


This is a required course for bioinformatics students---both undergraduate and graduate students (pre-requisite to BME 220 and BME 230). For more information about the bioinformatics degree programs, see the Frequently-Asked-Questions (FAQ) page at http://www.soe.ucsc.edu/programs/bioinformatics/undergraduate/FAQ.html

New Catalog Description

An introduction to bioinformatics stochastic modeling and algorithms, including Markov chains, hidden Markov models, and dynamic programming. The emphasis is on DNA and protein sequence alignment and analysis.

Old Catalog Description

An introduction to bioinformatics, 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. The emphasis is on DNA and protein sequence alignment and analysis. BME100L must be taken concurrently.

Prerequisites

Corequisites:

BME205 included Perl programming through Fall 2008, but switched to Python programming in Fall 2009.

Index of class resources

Class Information for Fall 2015
Class Information for Fall 2014
Class Information for Fall 2013
Class Information for Fall 2012
Class Information for Fall 2011 (David Bernick)
Class Information for Fall 2010
Class Information for Fall 2009
Class Information for Fall 2008
Class Information for Fall 2007
Class Information for Fall 2006
Class Information for Fall 2005
Class Information for Fall 2004
Class Information for Fall 2003
Class Information for Fall 2002
Class Information for Fall 2001



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Questions about page content should be directed to Kevin Karplus
Biomolecular Engineering
University of California, Santa Cruz
Santa Cruz, CA 95064
USA
karplus@soe.ucsc.edu
1-831-459-4250
318 Physical Sciences Building

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