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Recent applications of Hidden Markov Models in computational biology / 基因组蛋白质组与生物信息学报·英文版
Genomics, Proteomics & Bioinformatics ; (4): 84-96, 2004.
Article in English | WPRIM | ID: wpr-339490
ABSTRACT
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.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Protein Conformation / Markov Chains / Sequence Alignment / Sequence Homology / Computational Biology / Models, Biological Type of study: Health economic evaluation Language: English Journal: Genomics, Proteomics & Bioinformatics Year: 2004 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Protein Conformation / Markov Chains / Sequence Alignment / Sequence Homology / Computational Biology / Models, Biological Type of study: Health economic evaluation Language: English Journal: Genomics, Proteomics & Bioinformatics Year: 2004 Type: Article