4B. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models

MIT HST.508 Genomics and Computational Biology, Fall 2002 Instructor: George Church View the complete course: https://ocw.mit.edu/courses/hst-508-genomics-and-computational-biology-fall-2002/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61gaHWysmlYNeGsuUI8y5GV Uploaded 22-08-22 Welcome 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-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu Support OCW at http://ow.ly/a1If50zVRlQ We 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. Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices