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Introduction to Computational Molecular Biology, Fall 2004

 
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Type: Course Related Materials
Grade Level: Post-secondary
Author: Lippert, Ross
Subject: Mathematics and Statistics
Institution Name: M.I.T.
Collection Name: MIT OpenCourseWare

Abstract: Introduces the basic computational methods used to understand the cell on a molecular level. Covers sequence alignment algorithms: dynamic programming, hashing, suffix trees, Gibbs sampling. Focuses on computational approaches to: genetic and physical mapping; genome sequencing, assembly, and annotation; RNA expression and secondary structure; protein structure and folding; and molecular interactions and dynamics.

Details

Course Type: Full Course
Material Types: Activities and Labs, Homework and Assignments, Lecture Notes, Syllabi
Media Formats: Text/HTML, Downloadable docs
Language: English

Additional Information

Geographic Regional Relevance: All

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