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VING: a software for visualization of deep sequencing signals

Overview of attention for article published in BMC Research Notes, September 2015
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3 X users

Citations

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18 Dimensions

Readers on

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30 Mendeley
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3 CiteULike
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Title
VING: a software for visualization of deep sequencing signals
Published in
BMC Research Notes, September 2015
DOI 10.1186/s13104-015-1404-5
Pubmed ID
Authors

Marc Descrimes, Yousra Ben Zouari, Maxime Wery, Rachel Legendre, Daniel Gautheret, Antonin Morillon

Abstract

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. 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. 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 2 7%
France 2 7%
Germany 1 3%
United States 1 3%
Luxembourg 1 3%
Unknown 23 77%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 37%
Student > Ph. D. Student 8 27%
Student > Master 4 13%
Other 2 7%
Professor > Associate Professor 2 7%
Other 1 3%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 43%
Biochemistry, Genetics and Molecular Biology 4 13%
Computer Science 3 10%
Medicine and Dentistry 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 7%
Unknown 5 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 September 2015.
All research outputs
#16,661,937
of 24,514,423 outputs
Outputs from BMC Research Notes
#2,442
of 4,415 outputs
Outputs of similar age
#162,209
of 272,939 outputs
Outputs of similar age from BMC Research Notes
#95
of 172 outputs
Altmetric has tracked 24,514,423 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,415 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 272,939 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.