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BBCAnalyzer: a visual approach to facilitate variant calling

Overview of attention for article published in BMC Bioinformatics, February 2017
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Title
BBCAnalyzer: a visual approach to facilitate variant calling
Published in
BMC Bioinformatics, February 2017
DOI 10.1186/s12859-017-1549-4
Pubmed ID
Authors

Sarah Sandmann, Aniek O. de Graaf, Martin Dugas

Abstract

Deriving valid variant calling results from raw next-generation sequencing data is a particularly challenging task, especially with respect to clinical diagnostics and personalized medicine. However, when using classic variant calling software, the user usually obtains nothing more than a list of variants that pass the corresponding caller's internal filters. Any expected mutations (e.g. hotspot mutations), that have not been called by the software, need to be investigated manually. BBCAnalyzer (Bases By CIGAR Analyzer) provides a novel visual approach to facilitate this step of time-consuming, manual inspection of common mutation sites. BBCAnalyzer is able to visualize base counts at predefined positions or regions in any sequence alignment data that are available as BAM files. Thereby, the tool provides a straightforward solution for evaluating any list of expected mutations like hotspot mutations, or even whole regions of interest. In addition to an ordinary textual report, BBCAnalyzer reports highly customizable plots. Information on the counted number of bases, the reference bases, known mutations or polymorphisms, called mutations and base qualities is summarized in a single plot. By uniting this information in a graphical way, the user may easily decide on a variant being present or not - completely independent of any internal filters or frequency thresholds. BBCAnalyzer provides a unique, novel approach to facilitate variant calling where classical tools frequently fail to call. The R package is freely available at http://bioconductor.org . The local web application is available at Additional file 2. A documentation of the R package (Additional file 1) as well as the web application (Additional file 2) with detailed descriptions, examples of all input- and output elements, exemplary code as well as exemplary data are included. A video demonstrates the exemplary usage of the local web application (Additional file 3). Additional file 3: Supplement_3. Video demonstrating the exemplary usage of the web application "BBCAnalyzer". (MP4 11571 kb).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 56%
Student > Ph. D. Student 4 22%
Student > Bachelor 1 6%
Student > Master 1 6%
Student > Doctoral Student 1 6%
Other 0 0%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 22%
Biochemistry, Genetics and Molecular Biology 3 17%
Computer Science 2 11%
Medicine and Dentistry 2 11%
Neuroscience 1 6%
Other 3 17%
Unknown 3 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 13 March 2017.
All research outputs
#18,538,272
of 22,959,818 outputs
Outputs from BMC Bioinformatics
#6,342
of 7,306 outputs
Outputs of similar age
#237,651
of 310,858 outputs
Outputs of similar age from BMC Bioinformatics
#110
of 141 outputs
Altmetric has tracked 22,959,818 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 7,306 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.