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VIP: an integrated pipeline for metagenomics of virus identification and discovery
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 i...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4824449/ https://www.ncbi.nlm.nih.gov/pubmed/27026381 http://dx.doi.org/10.1038/srep23774 |
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author | Li, Yang Wang, Hao Nie, Kai Zhang, Chen Zhang, Yi Wang, Ji Niu, Peihua Ma, Xuejun |
author_facet | Li, Yang Wang, Hao Nie, Kai Zhang, Chen Zhang, Yi Wang, Ji Niu, Peihua Ma, Xuejun |
author_sort | Li, Yang |
collection | PubMed |
description | 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 (~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. |
format | Online Article Text |
id | pubmed-4824449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48244492016-04-18 VIP: an integrated pipeline for metagenomics of virus identification and discovery Li, Yang Wang, Hao Nie, Kai Zhang, Chen Zhang, Yi Wang, Ji Niu, Peihua Ma, Xuejun Sci Rep Article 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 (~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. Nature Publishing Group 2016-03-30 /pmc/articles/PMC4824449/ /pubmed/27026381 http://dx.doi.org/10.1038/srep23774 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Li, Yang Wang, Hao Nie, Kai Zhang, Chen Zhang, Yi Wang, Ji Niu, Peihua Ma, Xuejun VIP: an integrated pipeline for metagenomics of virus identification and discovery |
title | VIP: an integrated pipeline for metagenomics of virus identification and discovery |
title_full | VIP: an integrated pipeline for metagenomics of virus identification and discovery |
title_fullStr | VIP: an integrated pipeline for metagenomics of virus identification and discovery |
title_full_unstemmed | VIP: an integrated pipeline for metagenomics of virus identification and discovery |
title_short | VIP: an integrated pipeline for metagenomics of virus identification and discovery |
title_sort | vip: an integrated pipeline for metagenomics of virus identification and discovery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4824449/ https://www.ncbi.nlm.nih.gov/pubmed/27026381 http://dx.doi.org/10.1038/srep23774 |
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