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VIP: an integrated pipeline for metagenomics of virus identification and discovery

Journal article
Authors Y. Li
Hao Wang
K. Nie
C. Zhang
Y. Zhang
J. Wang
P. H. Niu
X. J. Ma
Published in Scientific Reports
Volume 6
Pages Article number: 23774
ISSN 2045-2322
Publication year 2016
Published at Institute of Biomedicine, Department of Infectious Medicine
Pages Article number: 23774
Language en
Links dx.doi.org/10.1038/srep23774
Keywords generation sequencing data, next-generation, genome sequence, origin, environment, assembler, alignment, software, datasets, velvet
Subject categories Clinical Medicine

Abstract

Identification and discovery of viruses using next-generation sequencing technology is a fast-developing area with potential wide application in clinical diagnostics, public health monitoring and novel virus discovery. However, tremendous sequence data from NGS study has posed great challenge both in accuracy and velocity for application of NGS study. Here we describe VIP ("Virus Identification Pipeline"), a one-touch computational pipeline for virus identification and discovery from metagenomic NGS data. VIP performs the following steps to achieve its goal: (i) map and filter out background-related reads, (ii) extensive classification of reads on the basis of nucleotide and remote amino acid homology, (iii) multiple k-mer based de novo assembly and phylogenetic analysis to provide evolutionary insight. We validated the feasibility and veracity of this pipeline with sequencing results of various types of clinical samples and public datasets. VIP has also contributed to timely virus diagnosis (similar to 10 min) in acutely ill patients, demonstrating its potential in the performance of unbiased NGS-based clinical studies with demand of short turnaround time. VIP is released under GPLv3 and is available for free download at: https://github.com/keylabivdc/VIP.

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