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SNPTrackTM: an integrated bioinformatics system for genetic association studies

Overview of attention for article published in Human Genomics, July 2012
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Title
SNPTrackTM: an integrated bioinformatics system for genetic association studies
Published in
Human Genomics, July 2012
DOI 10.1186/1479-7364-6-5
Pubmed ID
Authors

Joshua Xu, Reagan Kelly, Guangxu Zhou, Steven A. Turner, Don Ding, Stephen C. Harris, Huixiao Hong, Hong Fang, Weida Tong

Abstract

ABSTRACT: A genetic association study is a complicated process that involves collecting phenotypic data, generating genotypic data, analyzing associations between genotypic and phenotypic data, and interpreting genetic biomarkers identified. SNPTrack is an integrated bioinformatics system developed by the US Food and Drug Administration (FDA) to support the review and analysis of pharmacogenetics data resulting from FDA research or submitted by sponsors. The system integrates data management, analysis, and interpretation in a single platform for genetic association studies. Specifically, it stores genotyping data and single-nucleotide polymorphism (SNP) annotations along with study design data in an Oracle database. It also integrates popular genetic analysis tools, such as PLINK and Haploview. SNPTrack provides genetic analysis capabilities and captures analysis results in its database as SNP lists that can be cross-linked for biological interpretation to gene/protein annotations, Gene Ontology, and pathway analysis data. With SNPTrack, users can do the entire stream of bioinformatics jobs for genetic association studies. SNPTrack is freely available to the public at http://www.fda.gov/ScienceResearch/BioinformaticsTools/SNPTrack/default.htm.

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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 %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 20%
Researcher 6 20%
Student > Master 4 13%
Student > Bachelor 2 7%
Student > Postgraduate 2 7%
Other 5 17%
Unknown 5 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 27%
Computer Science 4 13%
Engineering 4 13%
Medicine and Dentistry 3 10%
Biochemistry, Genetics and Molecular Biology 2 7%
Other 2 7%
Unknown 7 23%
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 09 January 2013.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Human Genomics
#463
of 564 outputs
Outputs of similar age
#138,935
of 177,520 outputs
Outputs of similar age from Human Genomics
#6
of 6 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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