Applied Genomics: Introduction to Bioinformatics and Network Modeling

BIOL-GA 1130

Fundamental methods of analyzing large data sets from genomics experiments, including hands-on computational training. Analysis focuses on data from genome-wide studies of gene expression using microarrays and from genome-wide studies of molecular interactions. Methods covered include clustering, multiple-hypothesis testing, and network inference.

Format: Lecture, Recitation

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