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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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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2006
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1523218/ https://ncbi.nlm.nih.gov/pubmed/16597327 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-189 |
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