7.91J | Spring 2014 | Graduate

Foundations of Computational and Systems Biology

Video Lectures

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

Description: 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.

Instructor: Prof. Christopher Burge

Learning Resource Types
Lecture Videos
Lecture Notes
Programming Assignments with Examples
Presentation Assignments
Written Assignments
Instructor Insights