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Pre-trained Taxonomic Classifier for 16S rRNA Hypervariable Region V1V3

Authors: Elnimeiry, Logain;

Pre-trained Taxonomic Classifier for 16S rRNA Hypervariable Region V1V3

Abstract

{"references": ["Bokulich, N.A., Robeson, M., Dillon, M.R. bokulich-lab/RESCRIPt. Zenodo. http://doi.org/10.5281/zenodo.3891931", "Bokulich, N.A., Kaehler, B.D., Rideout, J.R. et al. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2's q2-feature-classifier plugin. Microbiome 6, 90 (2018). https://doi.org/10.1186/s40168-018-0470-z", "Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Gl\u00f6ckner FO (2013) The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Opens external link in new windowNucl. Acids Res. 41 (D1): D590-D596.", "Yilmaz P, Parfrey LW, Yarza P, Gerken J, Pruesse E, Quast C, Schweer T, Peplies J, Ludwig W, Gl\u00f6ckner FO (2014) The SILVA and \"All-species Living Tree Project (LTP)\" taxonomic frameworks. Nucl. Acids Res. 42:D643-D648"]}

This is a pre-trained taxonomic classifier for sequences targeting the V1V3 16S rRNA hypervariable region using the SILVA rRNA database and is intended for use in QIIME2 (v2020.8). The pre-formatted SILVA (138-99) full-length sequences and taxonomy files were obtained from QIIME2's data resources, which can be found at this link. Reference reads were extracted from the SILVA reference database using the following primer pair: 27FYM & 519R. The classifier was trained on the extracted reads and taxonomy and tested on representative sequences targeting the V1V3 region using QIIME's feature classifier. Licensing information for the pre-formatted files used can be found in the above link. Note: If you decide to use this classifier, you must use it with QIIME2 version 2020.8.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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