MIT 7.91J Foundations of Computational and Systems Biology - 9. Modeling and Discovery of Sequence Motifs

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27.5 hours of video
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Summary

Keywords

sequence motif Gibbs sampling algorithm information content biotechnology TATA box weight matrix SELEX in vitro binding core splice background model statistical entropy Monte Carlo algorithm

Full Transcript

MIT 7.91J Foundations of Computational and Systems Biology, Spring 2014 View the complete course: http://ocw.mit.edu/7-91JS14 Instructor: Christopher Burge 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. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu