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
2024-25	Section 01 Russ Corbett-Detig (rucorbet) Alexander Ioannidis (alioanni) David Haussler (haussler)
2023-24	Section 01 David L Bernick (dbernick)
2022-23	Section 01 David L Bernick (dbernick)
2021-22	Section 01 David L Bernick (dbernick)

Comments

pending pre-requisite(s) changes: course 205

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