Recent Applications of Hidden Markov Models in Computational Biology

This paper examines recent developments and applications of Hidden Markov Models (HMMs) to various problems in computational biology, including multiple sequence alignment, homology detection, protein sequences classification, and genomic annotation.

Detalles Bibliográficos
Autores principales: Choo, Khar Heng, Tong, Joo Chuan, Zhang, Louxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2004
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172443/
https://www.ncbi.nlm.nih.gov/pubmed/15629048
http://dx.doi.org/10.1016/S1672-0229(04)02014-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172443/
https://www.ncbi.nlm.nih.gov/pubmed/15629048
http://dx.doi.org/10.1016/S1672-0229(04)02014-5

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