Appl Genomics: Intro to Bioinformtcs &Netwrk Mod

MS and undergraduate Biology section. Undergraduates. Prerequisite: MS Biology students must have completed BIOL-GA 2030 and obtain Permission of Instructor. Undergraduate prerequisites: BIOL-UA 21 & 22 and Permission of Instructor. Must also register for Recitation Section 004. Please contact Gail Kashishian gk6@nyu.edu for permission code.

This course introduces fundamental methods of analyzing large data sets from genomics experiments. Through a combination of lectures, hands-on computational training, and in-depth discussions of current scientific papers, students learn the conceptual foundations of basic analytical methods, the computational skills to implement these methods, and the reasoning skills to read critically the primary literature in genomics. 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. A large part of the course is dedicated to students completing an individual project that is tailored to meet their background and training.

Term

Section

Instructor

Schedule

Location

Spring 2020

1
Brian Parker
W: 3:30 PM - 6:15 PM 60FA C14
1
David Gresham
W: 11:00 AM - 1:45 PM TISC LC19
1
Nagashree Srinidhi
M: 2:00 PM - 3:15 PM SILV 403
1
Nagashree Srinidhi
W: 3:30 PM - 6:15 PM 60FA C14
1
Spencer Hobson-Gutierrez
M: 11:00 AM - 1:45 PM 19W4 102
1
Spencer Hobson-Gutierrez
W: 11:00 AM - 1:45 PM TISC LC19
1
Manpreet Katari
W: 3:30 PM - 6:15 PM 60FA C14
1
Manpreet Katari
W: 11:00 AM - 1:45 PM TISC LC19