7.91J Fundamentals of Computational and Systems Biology
7.91J Fundamentals of Computational and Systems Biology (Spring 2014, MIT OCW). Instructors: Prof. Christopher Burge, Prof. David Gifford, and Prof. Ernest Fraenkel. This course is an introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis; it also includes an introduction to the analysis of complex biological systems.
The MIT Initiative in Computational and Systems Biology is a campus-wide research and education program that links biology, engineering, and computer science in a multidisciplinary approach to the systematic analysis and modeling of complex biological phenomena. This course is one of a series of core subjects offered through the CSB Ph.D program, for students with an interest in interdisciplinary training and research in the area of computational and systems biology. (from ocw.mit.edu)
|Lecture 10 - Markov and Hidden Markov Models of Genomic and Protein Features|
Prof. Christopher Burge begins by reviewing Lecture 9, then begins his lecture on hidden Markov models (HMM) of genomic and protein features. He addresses the terminology and applications of HMMs, the Viterbi algorithm, and then gives a few examples.
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