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Related Experiment Video

Updated: Apr 4, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

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Published on: January 10, 2019

VING: a software for visualization of deep sequencing signals.

Marc Descrimes¹, Yousra Ben Zouari², Maxime Wery³

¹ncRNA, 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.

BMC Research Notes

|September 9, 2015

Summary

VING is a new R script for visualizing next-generation sequencing (NGS) data coverage. It generates publication-ready figures from NGS mapping files, ideal for multiple experiments.

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Area of Science:

Bioinformatics
Genomics
Computational Biology

Background:

Next-generation sequencing (NGS) data analysis requires mapping reads to a reference genome.
Genome browsers are commonly used for visualization but lack versatility for publication-ready NGS data coverage, especially for multiple experiments.

Purpose of the Study:

To develop a tool for generating publication-quality visualizations of NGS data coverage.
To provide a versatile solution for representing NGS data from multiple experiments simultaneously.

Main Methods:

Development of 'VING', a stand-alone R script.
Input includes NGS mapping files and genome annotations.
Offers multiple viewing options, including strand-specific views and heatmap mode.

Main Results:

VING produces accurate snapshots of NGS coverage signals for specified genomic regions.
Facilitates representation of multiple experiments in a single figure using a heatmap mode.
Generates high-quality figures suitable for publication.

Conclusions:

VING is a valuable tool for NGS data representation in regions of interest.
The script is available at http://vm-gb.curie.fr/ving/.
A Galaxy wrapper is also available in the Galaxy tool shed.