Biological Databases and Data Mining
BIOL-GA 1009
Students create their own biological database using MySQL and SQLite and mine biological data using machine-learning methods such as clustering, decision trees, and multiple regressions. Applications to experimental data in order to classify and predict gene function and regulation.
Format: Lecture
Prerequisites: MCB2 (BIOL-UA 22 or 9022), Permission required
Corequisites: None
Location: New York
Equivalent(s): None
Syllabus
Term(s) offered:
Requirements satisfied:
- Major: Biology Standard Track
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- Upper-Level Elective
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- Quantitative Skills
- Advanced Biology
- Major: Ecology Track
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- Upper-Level Elective
-
- Quantitative Skills
- Advanced Biology
- Major: GPH/Biology
-
- Additional Elective
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- Minor: Genomics & Bioinformatics
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- Elective
-
-
- Upper-Level Elective
-
- Quantitative Skills
- Advanced Biology
-
- Upper-Level Elective
-
- Upper-Level Elective
-
- Quantitative Skills
- Advanced Biology
-
- Upper-Level Elective
-
- Additional Elective
- Additional Elective
-
- Elective
- Elective