Cargando…
VING: a software for visualization of deep sequencing signals
BACKGROUND: Next generation sequencing (NGS) data treatment often requires mapping sequenced reads onto a reference genome for further analysis. Mapped data are commonly visualized using genome browsers. However, such software are not suited for a publication-ready and versatile representation of NG...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562374/ https://www.ncbi.nlm.nih.gov/pubmed/26346985 http://dx.doi.org/10.1186/s13104-015-1404-5 |
_version_ | 1782389161278308352 |
---|---|
author | Descrimes, Marc Zouari, Yousra Ben Wery, Maxime Legendre, Rachel Gautheret, Daniel Morillon, Antonin |
author_facet | Descrimes, Marc Zouari, Yousra Ben Wery, Maxime Legendre, Rachel Gautheret, Daniel Morillon, Antonin |
author_sort | Descrimes, Marc |
collection | PubMed |
description | BACKGROUND: Next generation sequencing (NGS) data treatment often requires mapping sequenced reads onto a reference genome for further analysis. Mapped data are commonly visualized using genome browsers. However, such software are not suited for a publication-ready and versatile representation of NGS data coverage, especially when multiple experiments are simultaneously treated. RESULTS: We developed ‘VING’, a stand-alone R script that takes as input NGS mapping files and genome annotations to produce accurate snapshots of the NGS coverage signal for any specified genomic region. VING offers multiple viewing options, including strand-specific views and a special heatmap mode for representing multiple experiments in a single figure. CONCLUSIONS: VING produces high-quality figures for NGS data representation in a genome region of interest. It is available at http://vm-gb.curie.fr/ving/. We also developed a Galaxy wrapper, available in the Galaxy tool shed with installation and usage instructions. |
format | Online Article Text |
id | pubmed-4562374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45623742015-09-09 VING: a software for visualization of deep sequencing signals Descrimes, Marc Zouari, Yousra Ben Wery, Maxime Legendre, Rachel Gautheret, Daniel Morillon, Antonin BMC Res Notes Technical Note BACKGROUND: Next generation sequencing (NGS) data treatment often requires mapping sequenced reads onto a reference genome for further analysis. Mapped data are commonly visualized using genome browsers. However, such software are not suited for a publication-ready and versatile representation of NGS data coverage, especially when multiple experiments are simultaneously treated. RESULTS: We developed ‘VING’, a stand-alone R script that takes as input NGS mapping files and genome annotations to produce accurate snapshots of the NGS coverage signal for any specified genomic region. VING offers multiple viewing options, including strand-specific views and a special heatmap mode for representing multiple experiments in a single figure. CONCLUSIONS: VING produces high-quality figures for NGS data representation in a genome region of interest. It is available at http://vm-gb.curie.fr/ving/. We also developed a Galaxy wrapper, available in the Galaxy tool shed with installation and usage instructions. BioMed Central 2015-09-07 /pmc/articles/PMC4562374/ /pubmed/26346985 http://dx.doi.org/10.1186/s13104-015-1404-5 Text en © Descrimes et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 | Technical Note Descrimes, Marc Zouari, Yousra Ben Wery, Maxime Legendre, Rachel Gautheret, Daniel Morillon, Antonin VING: a software for visualization of deep sequencing signals |
title | VING: a software for visualization of deep sequencing signals |
title_full | VING: a software for visualization of deep sequencing signals |
title_fullStr | VING: a software for visualization of deep sequencing signals |
title_full_unstemmed | VING: a software for visualization of deep sequencing signals |
title_short | VING: a software for visualization of deep sequencing signals |
title_sort | ving: a software for visualization of deep sequencing signals |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562374/ https://www.ncbi.nlm.nih.gov/pubmed/26346985 http://dx.doi.org/10.1186/s13104-015-1404-5 |
work_keys_str_mv | AT descrimesmarc vingasoftwareforvisualizationofdeepsequencingsignals AT zouariyousraben vingasoftwareforvisualizationofdeepsequencingsignals AT werymaxime vingasoftwareforvisualizationofdeepsequencingsignals AT legendrerachel vingasoftwareforvisualizationofdeepsequencingsignals AT gautheretdaniel vingasoftwareforvisualizationofdeepsequencingsignals AT morillonantonin vingasoftwareforvisualizationofdeepsequencingsignals |