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SNPpy - Database Management for SNP Data from Genome Wide Association Studies

Overview of attention for article published in PLOS ONE, October 2011
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Title
SNPpy - Database Management for SNP Data from Genome Wide Association Studies
Published in
PLOS ONE, October 2011
DOI 10.1371/journal.pone.0024982
Pubmed ID
Authors

Faheem Mitha, Herodotos Herodotou, Nedyalko Borisov, Chen Jiang, Josh Yoder, Kouros Owzar

Abstract

We describe SNPpy, a hybrid script database system using the Python SQLAlchemy library coupled with the PostgreSQL database to manage genotype data from Genome-Wide Association Studies (GWAS). This system makes it possible to merge study data with HapMap data and merge across studies for meta-analyses, including data filtering based on the values of phenotype and Single-Nucleotide Polymorphism (SNP) data. SNPpy and its dependencies are open source software.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
France 2 3%
Sweden 1 1%
Germany 1 1%
Canada 1 1%
United Kingdom 1 1%
New Zealand 1 1%
Poland 1 1%
Unknown 56 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 37%
Student > Ph. D. Student 13 19%
Student > Master 8 12%
Other 4 6%
Student > Bachelor 3 4%
Other 6 9%
Unknown 8 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 43%
Computer Science 11 16%
Biochemistry, Genetics and Molecular Biology 5 7%
Medicine and Dentistry 4 6%
Engineering 3 4%
Other 5 7%
Unknown 10 15%