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An evolutionary method for learning HMM structure: prediction of protein secondary structure
BACKGROUND: The prediction of the secondary structure of proteins is one of the most studied problems in bioinformatics. Despite their success in many problems of biological sequence analysis, Hidden Markov Models (HMMs) have not been used much for this problem, as the complexity of the task makes m...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2072961/ https://www.ncbi.nlm.nih.gov/pubmed/17888163 http://dx.doi.org/10.1186/1471-2105-8-357 |