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A Hands-on Introduction to Hidden Markov Models

Author(s): Tony Weisstein1, Elena Gracheva2, Zane Goodwin2, Zongtai Qi2, Wilson Leung2, Christopher D. Shaffer2, Sarah C.R. Elgin2

1. Truman State University 2. Washington University in St. Louis

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Summary:
A lesson in which students will understand the basic structure of an HMM, the types of data used in ab initio gene prediction, and its consequent limitations.

Licensed under CC Attribution-NonCommercial-ShareAlike 4.0 International according to these terms

Version 1.0 - published on 04 Jan 2019 doi:10.25334/Q4ZM88 - cite this

Keywords

  1. Markov model
  2. bioinformatics
  3. genomics
  4. NIBLSE
  5. transcription
  6. CourseSource
  7. exon
  8. intron
  9. splicing

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  2. Audience Level
  3. Activity Length
  4. NIBLSE Core Competencies
  5. NIBLSE Status
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