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This course is offered to undergraduates and addresses several algorithmic challenges in computational biology.
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English
English [CC]
FREE
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Description
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.
Course content
- Computational Challenges Unlimited
- BLAST Unlimited
- Motif Discovery Unlimited
- Gibbs Sampling Unlimited
- Sequence Alignment Unlimited
- HMMs and Gene Finding Unlimited
Instructor
Massachusetts Institute of Technology
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