De novo clustering methods outperform reference-based methods for assigning 16S rRNA gene sequences to operational taxonomic units

PeerJ

Volumn 2015, Issue 12, 2015, Pages

  Westcott, Sarah L ^a   Schloss, Patrick D ^a  

^a UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

16S rRNA gene sequences; Bioinformatics; Culture independent; Microbial ecology; Microbiome; Mothur; Next generation sequencing; OTU; QIIME

Indexed keywords

RNA 16S;

ALGORITHM; ARTICLE; DE NOVO CLUSTERING; GENE CLUSTER; GENE REPLICATION; GENE SEQUENCE; GENETIC DISTANCE; MATHEMATICAL MODEL; MICROBIAL COMMUNITY; MICROFLORA; OPERATIONAL TAXONOMIC UNIT; PHYLOGENY; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS;

EID: 84951059585     PISSN: None     EISSN: 21678359     Source Type: Journal    
DOI: 10.7717/peerj.1487     Document Type: Article

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