Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution
Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Scope and Contents
Contents
The standard approach to analyzing 16S tag sequence data, which relies on clustering reads by sequence similarity into Operational Taxonomic Units (OTUs), underexploits the accuracy of modern sequencing technology. We present a clustering-free approach to multi-sample Illumina data sets that can identify independent bacterial subpopulations regardl...
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Full title
Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4274427
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4274427
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ISSN
1751-7362
E-ISSN
1751-7370
DOI
10.1038/ismej.2014.117
