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Improving model construction of profile HMMs for remote homology detection through structural alignment

BACKGROUND: Remote homology detection is a challenging problem in Bioinformatics. Arguably, profile Hidden Markov Models (pHMMs) are one of the most successful approaches in addressing this important problem. pHMM packages present a relatively small computational cost, and perform particularly well...

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Detalles Bibliográficos
Autores principales:	Bernardes, Juliana S, Dávila, Alberto MR, Costa, Vítor S, Zaverucha, Gerson
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2007
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2245980/ https://www.ncbi.nlm.nih.gov/pubmed/17999748 http://dx.doi.org/10.1186/1471-2105-8-435

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