6.047 / 6.878 Computational Biology: Genomes, Networks, Evolution
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6.047 / 6.878 Computational Biology: Genomes, Networks, Evolution

        

6.047 / 6.878 Computational Biology: Genomes, Networks, Evolution

Logo for 6.047 / 6.878 Computational Biology: Genomes, Networks, Evolution
This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We use these to analyze real datasets from large-scale studies in genomics and proteomics. The topics covered include: Genomes: biological sequence analysis, hidden Markov models, gene finding, RNA folding, sequence alignment, genome assembly Networks:... More
Material Type: Online Course
Date Added to MERLOT: August 10, 2012
Date Modified in MERLOT: August 10, 2012
Author:

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  • Reviewed by members of Editorial board for inclusion in MERLOT.
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    Very good quality; in queue to be peer reviewed
    avg: 5 rating
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Mobile Compatibility: Not specified at this time
Language: English
Cost Involved: no
Source Code Available: unsure
Accessiblity Information Available: unsure
Creative Commons: Creative Commons License
This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States

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