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Predicting conserved protein motifs with Sub-HMMs
BACKGROUND: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is the difficulty to pinpoint their much shorter functional sub-features, such as catalytically relevant sequence motifs in en...
Autores principales: | Horan, Kevin, Shelton, Christian R, Girke, Thomas |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2879284/ https://www.ncbi.nlm.nih.gov/pubmed/20420695 http://dx.doi.org/10.1186/1471-2105-11-205 |
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