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Search and clustering orders of magnitude faster than BLAST

Datos Bibliográficos

ID23323645
AutoresR C Edgar (0000-0001-7355-2541, Tiburon Associates (United States), autor de correspondencia)
Año2010
Volumen26
Número19
Páginas2460-2461
Fecha de publicación2010-10-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaBioinformatics (JOURNAL)
Identificadores de la revistaISSN: 1367-4803 • E-ISSN: 1367-4811
EditorialOxford University Press (OUP) (PUBLISHER)
DOI10.1093/bioinformatics/btq461
PMID20709691
OpenAlexW2124351063
IdiomaEN
Citas recibidas88
Referencias citadas8

Motivation: Biological sequence data is accumulating rapidly, motivating the development of improved high-throughput methods for sequence classification. Results: UBLAST and USEARCH are new algorithms enabling sensitive local and global search of large sequence databases at exceptionally high speeds. They are often orders of magnitude faster than BLAST in practical applications, though sensitivity to distant protein relationships is lower. UCLUST is a new clustering method that exploits USEARCH to assign sequences to clusters. UCLUST offers several advantages over the widely used program CD-HIT, including higher speed, lower memory use, improved sensitivity, clustering at lower identities and classification of much larger datasets. Availability: Binaries are available at no charge for non-commercial use at http://www.drive5.com/usearch Contact: [email protected] Supplementary information: Supplementary data are available at Bioinformatics online.

Biology · Cluster analysis · Data mining · Exploit · Machine learning · Pattern recognition (psychology) · Sensitivity (control systems) · Sequence (biology) · Artificial Intelligence · Bioinformatics and Genomic Networks · Computer Science · Genomics and Phylogenetic Studies · Machine Learning in Bioinformatics

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Obras citantes distintas88
Citas por año5,87
Intervalo de citas2011 - 2026 (16)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 85
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