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Cited by 678

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Rapidly denoising pyrosequencing amplicon reads by exploiting rank-abundance distributions

Open access
Reeder, Jens, Knight, Rob·2010·Nature Methods

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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Metadata

Authors
Reeder, J., & Knight, R.
Venue
Nature Methods
Published
2010-09
Volume
7
Issue
9
Pages
668-669
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W1991486768
Cited by
678
References
5
FWCI
20.56
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Rapidly denoising pyrosequencing amplicon reads by exploiting rank-abundance distributions. https://app.cochat.ai/papers/10.1038/nmeth0910-668b
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Reeder, J., & Knight, R. (2010). Rapidly denoising pyrosequencing amplicon reads by exploiting rank-abundance distributions. Nature Methods. https://doi.org/10.1038/nmeth0910-668b

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.