article Open AccessTop 1% cited
Removing Noise From Pyrosequenced Amplicons
BMC Bioinformatics · 2011 · Vol. 12(1) · pp. 38–38
Christopher Quince✉(University of Glasgow)Anders Lanzen(Centre Jean Perrin)Russell J Davenport(Centre Jean Perrin)Peter J Turnbaugh(Centre Jean Perrin)
Abstract
AmpliconNoise followed by Perseus is a very effective pipeline for the removal of noise. In addition the principles behind the algorithms, the inference of true sequences using Expectation-Maximization (EM), and the treatment of chimera detection as a classification or 'supervised learning' problem, will be equally applicable to new sequencing technologies as they appear.
Genomics and Phylogenetic StudiesMicrobial Community Ecology and PhysiologyEnvironmental DNA in Biodiversity StudiesAmpliconPyrosequencingBiologyComputational biologyIon semiconductor sequencingDNA sequencingGenomicsGeneticsPolymerase chain reactionGenome
MeSH terms
AlgorithmsDNARNA, Ribosomal, 16SSoftwareLogistic ModelsPolymerase Chain ReactionSequence Analysis, DNAComputational Biology
Funding
- National Institutes of Health
- Engineering and Physical Sciences Research Council
Citations
1,593
FWCI
70.53
field-weighted impact
References
30
Percentile
100%
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Citations per year
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References
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Nature Methods · 2010 · 35,655 citations
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Proceedings of the National Academy of Sciences · 2010 · 9,826 citations
Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons
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