Cargando…
SCRAPT: an iterative algorithm for clustering large 16S rRNA gene data sets
16S rRNA gene sequence clustering is an important tool in characterizing the diversity of microbial communities. As 16S rRNA gene data sets are growing in size, existing sequence clustering algorithms increasingly become an analytical bottleneck. Part of this bottleneck is due to the substantial com...
Autores principales: | Luan, Tu, Muralidharan, Harihara Subrahmaniam, Alshehri, Marwan, Mittra, Ipsa, Pop, Mihai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164572/ https://www.ncbi.nlm.nih.gov/pubmed/36912074 http://dx.doi.org/10.1093/nar/gkad158 |
Ejemplares similares
-
Advanced computational algorithms for microbial community analysis using massive 16S rRNA sequence data
por: Sun, Yijun, et al.
Publicado: (2010) -
ESPRIT-Tree: hierarchical clustering analysis of millions of 16S rRNA pyrosequences in quasilinear computational time
por: Cai, Yunpeng, et al.
Publicado: (2011) -
Binnacle: Using Scaffolds to Improve the Contiguity and Quality of Metagenomic Bins
por: Muralidharan, Harihara Subrahmaniam, et al.
Publicado: (2021) -
An iterative network partition algorithm for accurate identification of dense network modules
por: Sun, Siqi, et al.
Publicado: (2012) -
ESPRIT: estimating species richness using large collections of 16S rRNA pyrosequences
por: Sun, Yijun, et al.
Publicado: (2009)