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Material Detail

6.096 Algorithms for Computational Biology | Electrical Engineering and Computer Science

6.096 Algorithms for Computational Biology | Electrical Engineering and Computer Science

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.
Keywords:
evolutionary theory, Computational Biology, biological sequence analysis, RNA folding, comparative genomics, genome assembly, gene finding, scale-free networks, clustering algorithms, machine learning applications, Algorithms and Data Structures, genome rearrangements, motif discovery, global and local sequence alignment, genome duplication, gene expression
Disciplines:
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More about this material

Material Type:
Online Course
Date Added to MERLOT:
May 12, 2016
Date Modified in MERLOT:
May 12, 2016
Author:
Submitter:
Barbra Bied Sperling
Hispanic Serving Institution
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Website
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Accessibility Information Available:
Unknown
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States

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