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

Internet

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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