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A new tool for prioritization of sequence variants from whole exome sequencing data

Overview of attention for article published in Source Code for Biology and Medicine, July 2016
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6 X users

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8 Dimensions

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49 Mendeley
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Title
A new tool for prioritization of sequence variants from whole exome sequencing data
Published in
Source Code for Biology and Medicine, July 2016
DOI 10.1186/s13029-016-0056-8
Pubmed ID
Authors

Brigitte Glanzmann, Hendri Herbst, Craig J. Kinnear, Marlo Möller, Junaid Gamieldien, Soraya Bardien

Abstract

Whole exome sequencing (WES) has provided a means for researchers to gain access to a highly enriched subset of the human genome in which to search for variants that are likely to be pathogenic and possibly provide important insights into disease mechanisms. In developing countries, bioinformatics capacity and expertise is severely limited and wet bench scientists are required to take on the challenging task of understanding and implementing the barrage of bioinformatics tools that are available to them. We designed a novel method for the filtration of WES data called TAPER™ (Tool for Automated selection and Prioritization for Efficient Retrieval of sequence variants). TAPER™ implements a set of logical steps by which to prioritize candidate variants that could be associated with disease and this is aimed for implementation in biomedical laboratories with limited bioinformatics capacity. TAPER™ is free, can be setup on a Windows operating system (from Windows 7 and above) and does not require any programming knowledge. In summary, we have developed a freely available tool that simplifies variant prioritization from WES data in order to facilitate discovery of disease-causing genes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 24%
Researcher 9 18%
Student > Postgraduate 8 16%
Student > Master 7 14%
Student > Bachelor 2 4%
Other 4 8%
Unknown 7 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 29%
Agricultural and Biological Sciences 12 24%
Mathematics 4 8%
Computer Science 4 8%
Immunology and Microbiology 2 4%
Other 5 10%
Unknown 8 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 January 2017.
All research outputs
#12,961,619
of 22,880,230 outputs
Outputs from Source Code for Biology and Medicine
#53
of 127 outputs
Outputs of similar age
#177,447
of 351,902 outputs
Outputs of similar age from Source Code for Biology and Medicine
#2
of 4 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 55% of its peers.
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 351,902 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.