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.

Undergrad students must request a registration code from Emilio Del Valle (ejd8766@nyu.edu)

Format: Lecture, Recitation

Prerequisites: Masters Students - BIOL-GA 2030 OR permission of the instructor. Must have programming experience (R or Python preferred.), Undergraduate Students - (BIOL-UA 21 and BIOL-UA 22) and (BIOL-UA 42 and BIOL-UA 45 or BIOL-UA 103)

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
          • Advanced Biology
  • Major: GPH/Biology
      • Additional Elective
  • Minor: Genomics & Bioinformatics
      • Elective