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: Graduate Students - BIOL-GA 2030 or BIOL-GA 103 OR must know R or Python, Undergraduate Students - BIOL-UA 21 and (BIOL-UA 22 or BIOL-GA 9022)

Corequisites: None

Location: New York

Equivalent(s): None

Course Description

Term(s) offered:

Requirements satisfied:
  • Major: Biology Standard Track
      • Upper-Level Elective
          • Quantitative Skills
          • Advanced Biology
  • Major: Ecology Track
      • Upper-Level Elective
          • Quantitative Skills
          • Advanced Biology
  • Major: GPH/Biology
      • Additional Elective
  • Minor: Molecular & Cell Biology
      • Elective
  • Minor: Genomics & Bioinformatics
      • Elective