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This course introduces the basic computational methods used to understand the cell on a molecular level.

0

3

English

English [CC]

FREE

Description

It covers subjects such as the sequence alignment algorithms: dynamic programming, hashing, suffix trees, and Gibbs sampling. Furthermore, it 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.

Course content

    • Motifs and Median Strings Unlimited
    • Global Alignment Unlimited
    • Local Alignment Unlimited
    • Spliced Alignment Unlimited
    • More Efficient Alignment Unlimited
    • Peptide Graphs Unlimited
    • Exact Pattern Matching Unlimited
    • Suffix Trees Unlimited
    • Suffix Arrays and BWTs Unlimited
    • BLAST Unlimited
    • Trees Unlimited
    • Hidden Markov Models I Unlimited
    • Hidden Markov Models II Unlimited
    • Gibbs Sampling Unlimited
    • Random Projections Unlimited

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Instructor

Massachusetts Institute of Technology
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