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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.
Autores principales: | Choo, Khar Heng, Tong, Joo Chuan, Zhang, Louxin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2004
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Materias: | |
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 |
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