2011
DOI: 10.1093/bioinformatics/btr381
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UCHIME improves sensitivity and speed of chimera detection

Abstract: Motivation: Chimeric DNA sequences often form during polymerase chain reaction amplification, especially when sequencing single regions (e.g. 16S rRNA or fungal Internal Transcribed Spacer) to assess diversity or compare populations. Undetected chimeras may be misinterpreted as novel species, causing inflated estimates of diversity and spurious inferences of differences between populations. Detection and removal of chimeras is therefore of critical importance in such experiments.Results: We describe UCHIME, a … Show more

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Cited by 13,006 publications
(8,666 citation statements)
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References 19 publications
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“…Remaining sequences were aligned against the SILVA database (release 119; Pruesse et al., 2007)) and preclustered (2 bp difference; Huse, Welch, Morrison, & Sogin, 2010). Chimeric sequences were removed using the UCHIME command (Edgar et al., 2011). Sequences assigned to chloroplasts, mitochondria, archaea, and eukaryotes were removed based on classification against the Greengenes database (release gg_13_8_99, McDonald et al., 2012).…”
Section: Methodsmentioning
confidence: 99%
“…Remaining sequences were aligned against the SILVA database (release 119; Pruesse et al., 2007)) and preclustered (2 bp difference; Huse, Welch, Morrison, & Sogin, 2010). Chimeric sequences were removed using the UCHIME command (Edgar et al., 2011). Sequences assigned to chloroplasts, mitochondria, archaea, and eukaryotes were removed based on classification against the Greengenes database (release gg_13_8_99, McDonald et al., 2012).…”
Section: Methodsmentioning
confidence: 99%
“…All identical sequences were subsequently collapsed and representative sequences were retained via unique.seqs command in mothur . Chimera sequences were removed with uchime as implemented in mothur (Edgar et al ., 2011). …”
Section: Methodsmentioning
confidence: 99%
“…After the preliminary filtering process, the resulting sequences were denoised using the “pre.cluster” command (http://www.mothur.org/wiki/Pre.cluster) in MOTHUR. Chimera sequences were detected and removed by UCHIME (Edgar, Haas, Clemente, Quince, & Knight, 2011). To obtain the taxonomic assignments, all of the trimmed reads were clustered into OTUs with ≥97% similarity and aligned to the Greengenes database (McDonald et al., 2012) using the “claasify.seq” command in MOTHUR, with an 80% confidence threshold.…”
Section: Methodsmentioning
confidence: 99%