Species abundance information improves sequence taxonomy classification accuracy

Species abundance information improves sequence taxonomy classification accuracy

Taxonomy classification of amplicon sequences is an important step in investigating microbial communities in microbiome analysis. Here, the authors show incorporating environment-specific taxonomic abundance information can lead to improved species-level classification accuracy across common sample...

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Bibliographic Details
Main Authors: Benjamin D. Kaehler, Nicholas A. Bokulich, Daniel McDonald, Rob Knight, J. Gregory Caporaso, Gavin A. Huttley
Format: Article
Language:English
Published: Nature Publishing Group 2019-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-12669-6
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spelling doaj-02ad09f101884255b75a2601aa36326e2021-05-11T12:09:58ZengNature Publishing GroupNature Communications2041-17232019-10-0110111010.1038/s41467-019-12669-6Species abundance information improves sequence taxonomy classification accuracyBenjamin D. Kaehler0Nicholas A. Bokulich1Daniel McDonald2Rob Knight3J. Gregory Caporaso4Gavin A. Huttley5Research School of Biology, Australian National UniversityCenter for Applied Microbiome Science, The Pathogen and Microbiome Institute, Northern Arizona UniversityDepartment of Pediatrics, University of California San DiegoDepartment of Pediatrics, University of California San DiegoCenter for Applied Microbiome Science, The Pathogen and Microbiome Institute, Northern Arizona UniversityResearch School of Biology, Australian National UniversityTaxonomy classification of amplicon sequences is an important step in investigating microbial communities in microbiome analysis. Here, the authors show incorporating environment-specific taxonomic abundance information can lead to improved species-level classification accuracy across common sample types.https://doi.org/10.1038/s41467-019-12669-6
collection DOAJ
language English
format Article
sources DOAJ
author Benjamin D. Kaehler
Nicholas A. Bokulich
Daniel McDonald
Rob Knight
J. Gregory Caporaso
Gavin A. Huttley
spellingShingle Benjamin D. Kaehler
Nicholas A. Bokulich
Daniel McDonald
Rob Knight
J. Gregory Caporaso
Gavin A. Huttley
Species abundance information improves sequence taxonomy classification accuracy
Nature Communications
author_facet Benjamin D. Kaehler
Nicholas A. Bokulich
Daniel McDonald
Rob Knight
J. Gregory Caporaso
Gavin A. Huttley
author_sort Benjamin D. Kaehler
title Species abundance information improves sequence taxonomy classification accuracy
title_short Species abundance information improves sequence taxonomy classification accuracy
title_full Species abundance information improves sequence taxonomy classification accuracy
title_fullStr Species abundance information improves sequence taxonomy classification accuracy
title_full_unstemmed Species abundance information improves sequence taxonomy classification accuracy
title_sort species abundance information improves sequence taxonomy classification accuracy
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2019-10-01
description Taxonomy classification of amplicon sequences is an important step in investigating microbial communities in microbiome analysis. Here, the authors show incorporating environment-specific taxonomic abundance information can lead to improved species-level classification accuracy across common sample types.
url https://doi.org/10.1038/s41467-019-12669-6
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AT robknight speciesabundanceinformationimprovessequencetaxonomyclassificationaccuracy
AT jgregorycaporaso speciesabundanceinformationimprovessequencetaxonomyclassificationaccuracy
AT gavinahuttley speciesabundanceinformationimprovessequencetaxonomyclassificationaccuracy
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