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...

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Detalles Bibliográficos
Autores principales: Fayech, Sondes, Essoussi, Nadia, Limam, Mohamed
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research
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

Internet

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

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