A grammar-based distance metric enables fast and accurate clustering of large sets of 16S sequences

BACKGROUND: We propose a sequence clustering algorithm and compare the partition quality and execution time of the proposed algorithm with those of a popular existing algorithm. The proposed clustering algorithm uses a grammar-based distance metric to determine partitioning for a set of biological s...

Descripción completa

Detalles Bibliográficos
Autores principales: Russell, David J, Way, Samuel F, Benson, Andrew K, Sayood, Khalid
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3022630/
https://www.ncbi.nlm.nih.gov/pubmed/21167044
http://dx.doi.org/10.1186/1471-2105-11-601

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3022630/
https://www.ncbi.nlm.nih.gov/pubmed/21167044
http://dx.doi.org/10.1186/1471-2105-11-601

Ejemplares similares