MUMMALS: multiple sequence alignment improved by using hidden Markov models with local structural information

We have developed MUMMALS, a program to construct multiple protein sequence alignment using probabilistic consistency. MUMMALS improves alignment quality by using pairwise alignment hidden Markov models (HMMs) with multiple match states that describe local structural information without exploiting e...

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Detalles Bibliográficos
Autores principales: Pei, Jimin, Grishin, Nick V.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1636350/
https://www.ncbi.nlm.nih.gov/pubmed/16936316
http://dx.doi.org/10.1093/nar/gkl514

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1636350/
https://www.ncbi.nlm.nih.gov/pubmed/16936316
http://dx.doi.org/10.1093/nar/gkl514

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