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

Transcript

Course Info

Learning Resource Types

theaters Lecture Videos
notes Lecture Notes
group_work Projects
assignment_turned_in Programming Assignments with Examples
assignment Presentation Assignments
assignment Written Assignments
co_present Instructor Insights