APMA 1080 - Inference in Genomics and Molecuar Biology

Institution:

Brown University

Subject:

Description:

Sequencing of genomes (human and other) has generated a massive quantity of fundamental data that is revolutionizing the life sciences. The focus of this course is on drawing traditional and Bayesian statistical inferences from these data, including: alignment of biopolymer sequences; prediction of their structures, regulatory signals, and compositional characteristics; significances in database searches; phylogeny; and functional genomics. Emphasis is on inferences of the discrete high dimensional objects that are common in this field. Statistical topics: parameter estimation, hypothesis testing and false discovery rates, statistical decision theory, and Bayesian posterior inference. Prerequisite: APMA 1650 or MATH 1610 or equivalent; BIOL 0200 or equivalent; and experience with Matlab or another programming language.

Credits:

1.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.brown.edu

Phone Number:

(401) 863-1000

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

The Course Profile information is provided and updated by third parties including the respective institutions. While the institutions are able to update their information at any time, the information is not independently validated, and no party associated with this website can accept responsibility for its accuracy.