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HomeMIT 7.91J Foundations of Computational and Systems BiologyLecture 9: Modeling and Discovery of Sequence Motifs

Lecture 9: Modeling and Discovery of Sequence Motifs

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Lecture 10: Markov and Hidden Markov Models of Genomic and Protein Features

Description: This lecture by Prof. Christopher Burge covers modeling and discovery of sequence motifs. He gives the example of the Gibbs sampling algorithm. He covers information content of a motif, and he ends with parameter estimation for motif models.

Instructor: Prof. Christopher Burge