letterNature MethodsAug 30, 2010GOLD OA

Rapidly denoising pyrosequencing amplicon reads by exploiting rank-abundance distributions

University of Colorado Boulder · Howard Hughes Medical Institute

PubMed
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Abstract

We developed a fast method for denoising pyrosequencing for community 16S rRNA analysis. We observe a 2–4 fold reduction in the number of observed OTUs (operational taxonomic units) comparing denoised with non-denoised data. ~50,000 sequences can be denoised on a laptop within an hour, two orders of magnitude faster than published techniques. We demonstrate the effects of denoising on alpha and beta diversity of large 16S rRNA datasets.

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Authors

2

Topics & keywords

Keywords
  • Pyrosequencing
  • Amplicon
  • Computational biology
  • Biology
  • Rank (graph theory)
  • Abundance (ecology)
  • Computer science
  • Genetics
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