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VERSE: a novel approach to detect virus integration in host genomes through reference genome customization

Fueled by widespread applications of high-throughput next generation sequencing (NGS) technologies and urgent need to counter threats of pathogenic viruses, large-scale studies were conducted recently to investigate virus integration in host genomes (for example, human tumor genomes) that may cause...

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Detalles Bibliográficos
Autores principales: Wang, Qingguo, Jia, Peilin, Zhao, Zhongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4333248/
https://www.ncbi.nlm.nih.gov/pubmed/25699093
http://dx.doi.org/10.1186/s13073-015-0126-6
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author Wang, Qingguo
Jia, Peilin
Zhao, Zhongming
author_facet Wang, Qingguo
Jia, Peilin
Zhao, Zhongming
author_sort Wang, Qingguo
collection PubMed
description Fueled by widespread applications of high-throughput next generation sequencing (NGS) technologies and urgent need to counter threats of pathogenic viruses, large-scale studies were conducted recently to investigate virus integration in host genomes (for example, human tumor genomes) that may cause carcinogenesis or other diseases. A limiting factor in these studies, however, is rapid virus evolution and resulting polymorphisms, which prevent reads from aligning readily to commonly used virus reference genomes, and, accordingly, make virus integration sites difficult to detect. Another confounding factor is host genomic instability as a result of virus insertions. To tackle these challenges and improve our capability to identify cryptic virus-host fusions, we present a new approach that detects Virus intEgration sites through iterative Reference SEquence customization (VERSE). To the best of our knowledge, VERSE is the first approach to improve detection through customizing reference genomes. Using 19 human tumors and cancer cell lines as test data, we demonstrated that VERSE substantially enhanced the sensitivity of virus integration site detection. VERSE is implemented in the open source package VirusFinder 2 that is available at http://bioinfo.mc.vanderbilt.edu/VirusFinder/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0126-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-43332482015-02-20 VERSE: a novel approach to detect virus integration in host genomes through reference genome customization Wang, Qingguo Jia, Peilin Zhao, Zhongming Genome Med Method Fueled by widespread applications of high-throughput next generation sequencing (NGS) technologies and urgent need to counter threats of pathogenic viruses, large-scale studies were conducted recently to investigate virus integration in host genomes (for example, human tumor genomes) that may cause carcinogenesis or other diseases. A limiting factor in these studies, however, is rapid virus evolution and resulting polymorphisms, which prevent reads from aligning readily to commonly used virus reference genomes, and, accordingly, make virus integration sites difficult to detect. Another confounding factor is host genomic instability as a result of virus insertions. To tackle these challenges and improve our capability to identify cryptic virus-host fusions, we present a new approach that detects Virus intEgration sites through iterative Reference SEquence customization (VERSE). To the best of our knowledge, VERSE is the first approach to improve detection through customizing reference genomes. Using 19 human tumors and cancer cell lines as test data, we demonstrated that VERSE substantially enhanced the sensitivity of virus integration site detection. VERSE is implemented in the open source package VirusFinder 2 that is available at http://bioinfo.mc.vanderbilt.edu/VirusFinder/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0126-6) contains supplementary material, which is available to authorized users. BioMed Central 2015-01-20 /pmc/articles/PMC4333248/ /pubmed/25699093 http://dx.doi.org/10.1186/s13073-015-0126-6 Text en © Wang et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Method
Wang, Qingguo
Jia, Peilin
Zhao, Zhongming
VERSE: a novel approach to detect virus integration in host genomes through reference genome customization
title VERSE: a novel approach to detect virus integration in host genomes through reference genome customization
title_full VERSE: a novel approach to detect virus integration in host genomes through reference genome customization
title_fullStr VERSE: a novel approach to detect virus integration in host genomes through reference genome customization
title_full_unstemmed VERSE: a novel approach to detect virus integration in host genomes through reference genome customization
title_short VERSE: a novel approach to detect virus integration in host genomes through reference genome customization
title_sort verse: a novel approach to detect virus integration in host genomes through reference genome customization
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4333248/
https://www.ncbi.nlm.nih.gov/pubmed/25699093
http://dx.doi.org/10.1186/s13073-015-0126-6
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