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
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.
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.
BME205 included Perl programming through Fall 2008, but switched to Python programming in Fall 2009.
|BME 205 home page||BME 205 discussion forum||Karplus's lab page||UCSC Bioinformatics research|
Questions about page content should be directed to
University of California, Santa Cruz
Santa Cruz, CA 95064
318 Physical Sciences Building