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Partitioning clustering algorithms for protein sequence data sets
BACKGROUND: Genome-sequencing projects are currently producing an enormous amount of new sequences and cause the rapid increasing of protein sequence databases. The unsupervised classification of these data into functional groups or families, clustering, has become one of the principal research obje...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2678123/ https://www.ncbi.nlm.nih.gov/pubmed/19341454 http://dx.doi.org/10.1186/1756-0381-2-3 |