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Maximal viral information recovery from sequence data using VirMAP

Authors :
Nadim J Ajami
Matthew C. Wong
Matthew C. Ross
Richard E. Lloyd
Joseph F. Petrosino
Source :
Nature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
Publication Year :
2018
Publisher :
Nature Portfolio, 2018.

Abstract

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
9
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.79da31d8804d457da477e6d15a1bcd93
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-018-05658-8