BME205: Bioinformatics Models and Algorithms

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

Year Fall Winter Spring Summer
  • Section 01
    Russ Corbett-Detig (rucorbet)
    Alexander Ioannidis (alioanni)

pending pre-requisite(s) changes: course 205

While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.