Algorithms for incorporating prior topological information in HMMs: application to transmembrane proteins

BACKGROUND: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such as transmembrane protein topology prediction, the incorporation of limited amount of information regarding the topology,...

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Detalles Bibliográficos
Autores principales: Bagos, Pantelis G, Liakopoulos, Theodore D, Hamodrakas, Stavros J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1523218/
https://www.ncbi.nlm.nih.gov/pubmed/16597327
http://dx.doi.org/10.1186/1471-2105-7-189

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1523218/
https://www.ncbi.nlm.nih.gov/pubmed/16597327
http://dx.doi.org/10.1186/1471-2105-7-189

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