Impact of training sets on classification of high-throughput bacterial 16s rRNA gene surveys

ISME Journal

Volumn 6, Issue 1, 2012, Pages 94-103

  Werner, Jeffrey J ^a   Koren, Omry ^b   Hugenholtz, Philip ^c   Desantis, Todd Z ^d   Walters, William A ^e   Caporaso, J Gregory ^e   Angenent, Largus T ^a   Knight, Rob ^e   Ley, Ruth E ^b  

^a Department of Biological and Environmental Engineering   (United States)

^b Department of Obstetrics Gynecology   (United States)

^c UNIVERSITY OF QUEENSLAND   (Australia)

^d LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^e UNIVERSITY OF COLORADO   (United States)

Author keywords

Greengenes; microbiome; na ve Bayesian classifier; pyrosequencing; taxonomy

Indexed keywords

ARCHAEAL DNA; BACTERIAL DNA; RNA 16S;

ACCULTURATION; ANOXIC CONDITIONS; BACTERIUM; BAYESIAN ANALYSIS; DATABASE; GENE EXPRESSION; GENETIC ANALYSIS; MICROORGANISM; NUMERICAL MODEL; PHYLOGENETICS; RNA; RODENT; SNAKE; TAXONOMY; THRESHOLD; TRADE-OFF;

ALGORITHM; ANIMAL; ARCHAEON; BACTERIUM; BAYES THEOREM; CLASSIFICATION; GASTROINTESTINAL TRACT; GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN; ISOLATION AND PURIFICATION; METAGENOME; METHODOLOGY; MICROBIOLOGY; MOUSE; PHYLOGENY; REVIEW; RIBOTYPING;

ALGORITHMS; ANIMALS; ARCHAEA; BACTERIA; BAYES THEOREM; DNA, ARCHAEAL; DNA, BACTERIAL; GASTROINTESTINAL TRACT; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; METAGENOME; MICE; PHYLOGENY; RIBOTYPING; RNA, RIBOSOMAL, 16S;

BACTERIA (MICROORGANISMS); CHLOROFLEXI; CHLOROFLEXI (CLASS); MOLLICUTES;

EID: 84355166737     PISSN: 17517362     EISSN: 17517370     Source Type: Journal    
DOI: 10.1038/ismej.2011.82     Document Type: Review

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