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 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.
ncRNA, Epigenetics and Genome Fluidity, Institut Curie, PSL Research University, CNRS UMR3244, Université Pierre et Marie Curie, 26 rue d'Ulm, 75248, Paris Cedex 05, France. marc.descrimes@curie.fr.
Marc
M
Descrimes
ncRNA, Epigenetics and Genome Fluidity, Institut Curie, PSL Research University, CNRS UMR3244, Université Pierre et Marie Curie, 26 rue d'Ulm, 75248, Paris Cedex 05, France. hajsawsen@gmail.com.
Yousra
Y
Ben Zouari
ncRNA, Epigenetics and Genome Fluidity, Institut Curie, PSL Research University, CNRS UMR3244, Université Pierre et Marie Curie, 26 rue d'Ulm, 75248, Paris Cedex 05, France. maxime.wery@curie.fr.
Maxime
M
Wery
Institute for Integrative Biology of the Cell, CNRS, CEA, Université Paris Sud, Bâtiment 400, 91405, Orsay Cedex, France. rachel.legendre@i2bc.paris-saclay.fr.
Rachel
R
Legendre
Institute for Integrative Biology of the Cell, CNRS, CEA, Université Paris Sud, Bâtiment 400, 91405, Orsay Cedex, France. daniel.gautheret@u-psud.fr.
Daniel
D
Gautheret
ncRNA, Epigenetics and Genome Fluidity, Institut Curie, PSL Research University, CNRS UMR3244, Université Pierre et Marie Curie, 26 rue d'Ulm, 75248, Paris Cedex 05, France. antonin.morillon@curie.fr.
Antonin
A
Morillon
D019295:Computational Biology / Q000379:methods; D016678:Genome / Q000235:genetics*; D023281:Genomics / Q000379:methods; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods* / Q000706:statistics & numerical data; D020407:Internet; D015203:Reproducibility of Results; D017422:Sequence Analysis, DNA / Q000379:methods* / Q000706:statistics & numerical data; D012984:Software