BME 205Bioinformatics 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 is restricted to graduate students. Undergraduates may enroll with prerequisite(s): BME 160 or CSE 20; and CSE 107 or STAT 131; and BME 105 or BIOL 105; and previous or concurrent enrollment in BIOC 100A or BME 101 or BIOL 100 or CHEM 103.
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When it runs
Fall 2026Open Fall 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Tue Thu 9:50am–11:25am | PhysSciences 114 | R. Corbett-Detig, A. Ioannidis, D. Haussler | Open 64/75 |
Fall 2025Open Fall 2025
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Tue Thu 9:50am–11:25am | PhysSciences 110 | D. Haussler, R. Corbett-Detig | Open 49/65 |
Who teaches it
| Instructor | Rating | Difficulty | Would take again | Reviews |
|---|---|---|---|---|
| Russell Corbett-Detig | 5.0 / 5 | 3.1 / 5 | 100% | 12 |
| David Haussler | 4.2 / 5 | 3.3 / 5 | 80% | 12 |
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