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 is restricted to graduate students. Undergraduates may enroll with prerequisite(s): BME 160 or CSE 30; and CSE 107 or STAT 131; and previous or concurrent enrollment in BIOC 100A or BME 101 or BIOL 100 or CHEM 103.
5 credits
| Year | Fall | Winter | Spring | Summer |
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| 2025-26 |
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| 2024-25 |
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| 2023-24 |
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| 2022-23 |
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