20 390 - Foundations of Computational and Systems Biology

Institution:

Massachusetts Institute of Technology

Subject:

Description:

Introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis, as well as the analysis of complex biological systems. Principles and methods used for sequence alignment, motif finding, expression array analysis, structural modeling, structure prediction and network modeling. Techniques include dynamic programming, Markov models, clustering techniques, and energy minimization approaches. Exposure to currently emerging research areas. Designed for advanced undergraduates and graduate students with strong backgrounds in either molecular biology or computer science. Some foundational material covering basic programming skills, probability and statistics is provided for students with non-quantitative backgrounds.

Credits:

3.00

Credit Hours:

Prerequisites:

Prereq: 7.05 or 5.07; or Biology (GIR) and 6.001; or permission of instructor

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

web.mit.edu/student/

Phone Number:

(617) 253-1000

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Four-one-four plan

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