Algorithms for Computational Biology, Spring 2005
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| Type: | Course Related Materials |
| Grade Level: | Post-secondary |
Author: Kellis, Manolis
Subject: Science and Technology
Institution Name:
M.I.T.
Collection Name: MIT OpenCourseWare
Abstract: This course is offered to undergraduates and addresses several algorithmic challenges in computational biology. The principles of algorithmic design for biological datasets are studied and existing algorithms analyzed for application to real datasets. Topics covered include: biological sequence analysis, gene identification, regulatory motif discovery, genome assembly, genome duplication and rearrangements, evolutionary theory, clustering algorithms, and scale-free networks.
Details
Course Type: Full Course
Material Types: Homework and Assignments, Lecture Notes, Syllabi
Media Formats: Text/HTML, Downloadable docs
Language: English
Additional Information
Geographic
Regional Relevance: All
