Maximal viral information recovery from sequence data using VirMAP

Viral taxonomic characterization from metagenomic data suffers from high background noise and signal crosstalk. Here, the authors develop VirMAP, a novel pipeline for analyses of metagenomic data that classifies viral reconstructions independent of genome coverage or read overlap.

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Auteurs principaux:	Nadim J Ajami, Matthew C. Wong, Matthew C. Ross, Richard E. Lloyd, Joseph F. Petrosino
Format:	article
Langue:	EN
Publié:	Nature Portfolio 2018
Sujets:	Science Q
Accès en ligne:	https://doaj.org/article/79da31d8804d457da477e6d15a1bcd93
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id	oai:doaj.org-article:79da31d8804d457da477e6d15a1bcd93
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spelling	oai:doaj.org-article:79da31d8804d457da477e6d15a1bcd932021-12-02T15:33:42ZMaximal viral information recovery from sequence data using VirMAP10.1038/s41467-018-05658-82041-1723https://doaj.org/article/79da31d8804d457da477e6d15a1bcd932018-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-05658-8https://doaj.org/toc/2041-1723Viral taxonomic characterization from metagenomic data suffers from high background noise and signal crosstalk. Here, the authors develop VirMAP, a novel pipeline for analyses of metagenomic data that classifies viral reconstructions independent of genome coverage or read overlap.Nadim J AjamiMatthew C. WongMatthew C. RossRichard E. LloydJoseph F. PetrosinoNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Nadim J Ajami Matthew C. Wong Matthew C. Ross Richard E. Lloyd Joseph F. Petrosino Maximal viral information recovery from sequence data using VirMAP
description	Viral taxonomic characterization from metagenomic data suffers from high background noise and signal crosstalk. Here, the authors develop VirMAP, a novel pipeline for analyses of metagenomic data that classifies viral reconstructions independent of genome coverage or read overlap.
format	article
author	Nadim J Ajami Matthew C. Wong Matthew C. Ross Richard E. Lloyd Joseph F. Petrosino
author_facet	Nadim J Ajami Matthew C. Wong Matthew C. Ross Richard E. Lloyd Joseph F. Petrosino
author_sort	Nadim J Ajami
title	Maximal viral information recovery from sequence data using VirMAP
title_short	Maximal viral information recovery from sequence data using VirMAP
title_full	Maximal viral information recovery from sequence data using VirMAP
title_fullStr	Maximal viral information recovery from sequence data using VirMAP
title_full_unstemmed	Maximal viral information recovery from sequence data using VirMAP
title_sort	maximal viral information recovery from sequence data using virmap
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/79da31d8804d457da477e6d15a1bcd93
work_keys_str_mv	AT nadimjajami maximalviralinformationrecoveryfromsequencedatausingvirmap AT matthewcwong maximalviralinformationrecoveryfromsequencedatausingvirmap AT matthewcross maximalviralinformationrecoveryfromsequencedatausingvirmap AT richardelloyd maximalviralinformationrecoveryfromsequencedatausingvirmap AT josephfpetrosino maximalviralinformationrecoveryfromsequencedatausingvirmap
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Maximal viral information recovery from sequence data using VirMAP

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