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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Detalles Bibliográficos
Autores principales: Heller, Philip, Pogaru, Pratyusha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Case Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7970139/
https://www.ncbi.nlm.nih.gov/pubmed/33748491
http://dx.doi.org/10.1016/j.heliyon.2021.e06437

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7970139/
https://www.ncbi.nlm.nih.gov/pubmed/33748491
http://dx.doi.org/10.1016/j.heliyon.2021.e06437

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