Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1782358002768019456 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4333248 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT wangqingguo verseanovelapproachtodetectvirusintegrationinhostgenomesthroughreferencegenomecustomization AT jiapeilin verseanovelapproachtodetectvirusintegrationinhostgenomesthroughreferencegenomecustomization AT zhaozhongming verseanovelapproachtodetectvirusintegrationinhostgenomesthroughreferencegenomecustomization |