CBMF W4761x - or y Computational Genomics

Institution:

Barnard College

Subject:

Description:

Provides comprehensive introduction to computational techniques for analyzing genomic data including DNA, RNA and protein structures; microarrays; transcription and regulation; regulatory, metabolic and protein interaction networks. The course covers sequence analysis algorithms, dynamic programming, hidden Markov models, phylogenetic analysis, Bayesian network techniques, neural networks, clustering algorithms, support vector machines, Boolean models of regulatory networks, flux based analysis of metabolic networks and scale-free network models. The course provides self-contained introduction to relevant biological mechanisms and methods. Prerequisites: Introductory probability and statistics and basic programming skills. General Education Requirement: Quantitative and Deductive Reasoning (QUA). Lect: 3. 3 pts.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.barnard.edu

Phone Number:

(212) 854-5262

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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