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CGDV: a webtool for circular visualization of genomics and transcriptomics data

Overview of attention for article published in BMC Genomics, October 2017
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2 tweeters

Citations

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Readers on

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40 Mendeley
Title
CGDV: a webtool for circular visualization of genomics and transcriptomics data
Published in
BMC Genomics, October 2017
DOI 10.1186/s12864-017-4169-5
Pubmed ID
Authors

Vineet Jha, Gulzar Singh, Shiva Kumar, Amol Sonawane, Abhay Jere, Krishanpal Anamika

Abstract

Interpretation of large-scale data is very challenging and currently there is scarcity of web tools which support automated visualization of a variety of high throughput genomics and transcriptomics data and for a wide variety of model organisms along with user defined karyotypes. Circular plot provides holistic visualization of high throughput large scale data but it is very complex and challenging to generate as most of the available tools need informatics expertise to install and run them. We have developed CGDV (Circos for Genomics and Transcriptomics Data Visualization), a webtool based on Circos, for seamless and automated visualization of a variety of large scale genomics and transcriptomics data. CGDV takes output of analyzed genomics or transcriptomics data of different formats, such as vcf, bed, xls, tab limited matrix text file, CNVnator raw output and Gene fusion raw output, to plot circular view of the sample data. CGDV take cares of generating intermediate files required for circos. CGDV is freely available at https://cgdv-upload.persistent.co.in/cgdv/ . The circular plot for each data type is tailored to gain best biological insights into the data. The inter-relationship between data points, homologous sequences, genes involved in fusion events, differential expression pattern, sequencing depth, types and size of variations and enrichment of DNA binding proteins can be seen using CGDV. CGDV thus helps biologists and bioinformaticians to visualize a variety of genomics and transcriptomics data seamlessly.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 28%
Student > Ph. D. Student 7 18%
Researcher 7 18%
Student > Bachelor 4 10%
Other 2 5%
Other 5 13%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 38%
Biochemistry, Genetics and Molecular Biology 13 33%
Computer Science 3 8%
Engineering 2 5%
Medicine and Dentistry 1 3%
Other 2 5%
Unknown 4 10%

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 30 October 2017.
All research outputs
#9,655,429
of 12,072,146 outputs
Outputs from BMC Genomics
#5,541
of 7,108 outputs
Outputs of similar age
#206,896
of 284,805 outputs
Outputs of similar age from BMC Genomics
#363
of 529 outputs
Altmetric has tracked 12,072,146 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,108 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 12th percentile – i.e., 12% 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 284,805 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 529 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.