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
- CMPS 12B or 13H (programming)
- CMPE 107 or MATH 131A (statistics)
- BIOL 20A or BIOL 21A (cell and molecular biology)
- CHEM 108 A/L or CHEM 112 A/L (Organic chemistry)
Corequisites:
- BIOC 100A (biochemistry) [may be taken earlier or concurrently]
BME205 will include PERL programming and (to a lesser extent) using
existing bioinformatics tools and databases.
Index of class resources
- 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
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
