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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Autores principales:	Benjamin D. Kaehler, Nicholas A. Bokulich, Daniel McDonald, Rob Knight, J. Gregory Caporaso, Gavin A. Huttley
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/02ad09f101884255b75a2601aa36326e
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spelling	oai:doaj.org-article:02ad09f101884255b75a2601aa36326e2021-12-02T16:57:10ZSpecies abundance information improves sequence taxonomy classification accuracy10.1038/s41467-019-12669-62041-1723https://doaj.org/article/02ad09f101884255b75a2601aa36326e2019-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-12669-6https://doaj.org/toc/2041-1723Taxonomy 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.Benjamin D. KaehlerNicholas A. BokulichDaniel McDonaldRob KnightJ. Gregory CaporasoGavin A. HuttleyNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Benjamin D. Kaehler Nicholas A. Bokulich Daniel McDonald Rob Knight J. Gregory Caporaso Gavin A. Huttley Species abundance information improves sequence taxonomy classification accuracy
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.
format	article
author	Benjamin D. Kaehler Nicholas A. Bokulich Daniel McDonald Rob Knight J. Gregory Caporaso Gavin A. Huttley
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 Portfolio
publishDate	2019
url	https://doaj.org/article/02ad09f101884255b75a2601aa36326e
work_keys_str_mv	AT benjamindkaehler speciesabundanceinformationimprovessequencetaxonomyclassificationaccuracy AT nicholasabokulich speciesabundanceinformationimprovessequencetaxonomyclassificationaccuracy AT danielmcdonald speciesabundanceinformationimprovessequencetaxonomyclassificationaccuracy AT robknight speciesabundanceinformationimprovessequencetaxonomyclassificationaccuracy AT jgregorycaporaso speciesabundanceinformationimprovessequencetaxonomyclassificationaccuracy AT gavinahuttley speciesabundanceinformationimprovessequencetaxonomyclassificationaccuracy
_version_	1718382603099176960

Species abundance information improves sequence taxonomy classification accuracy

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