A novel approach to teaching Hidden Markov Models to a diverse undergraduate population

Hidden Markov Models (HMMs) are an essential tool for Bioinformatic analysis, with extensive success at finding patterns (e.g. CRISPR arrays or genes of interest) in DNA or protein sequences. HMMs are conceptually intricate, and the algorithms that make use of them are complicated. Thus they present...

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Bibliographic Details
Main Authors: Philip Heller, Pratyusha Pogaru
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844021005429