4B. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models
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MIT HST.508 Genomics and Computational Biology, Fall 2002Instructor: George ChurchView the complete course: https://ocw.mit.edu/courses/hst-508-genomics-and-computational-biology-fall-2002/YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61gaHWysmlYNeGsuUI8y5GVUploaded 22-08-22Welcome back to the second half, where we'll talk about multisequence alignment, for starters. This leads to the issue of finding genes, a particular type of distant sequence comparison. The ones interested in is finding motifs that are involved in finding genes. And finally, we'll end on hidden Markov model, the simplest one that I could think of that would really illustrate the idea of Markov models, probabilistic models, and the hiddenness.License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlQWe encourage constructive comments and discussion on OCW‚ YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
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