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UPARSE: highly accurate OTU sequences from microbial amplicon reads
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“Error corrected sequences were then de-multiplexed in QIIME based on their unique barcode, clustering of sequences to OTUs of 97% similarity were performed using closed-reference OTU picking method uclust [14].”
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“Paired end reads were merged via the rapid length adjustment of short reads, followed by sequence analysis using UPARSE (Edgar, 2013).”
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Oral Microbiomes in Children with Asthma and Dental Caries
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“Based on the Usearch (10.0.240) software, the UPARSE algorithm (Edgar, 2013) was used to conduct operational taxonomic unit(OUT) clustering at a consistency level of 97%, and the sequence with the highest frequency in each OTU was selected as the representative sequence of OTU.”
MethodInfluentialThe protozoan commensal Tritrichomonas musculis is a natural adjuvant for mucosal IgA
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Metadata
- Authors
- Edgar, R. C.
- Venue
- Nature Methods
- Published
- 2013-08-18
- Volume
- 10
- Issue
- 10
- Pages
- 996-998
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2088833470
- Cited by
- 16,707
- References
- 7
- FWCI
- 131.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.