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Bioinformatics. 2015 Jan 15;31(2):262-4. doi: 10.1093/bioinformatics/btu644. Epub 2014 Sep 25.

PINBPA: cytoscape app for network analysis of GWAS data.

Author information

1
School of Computing, Queen's University, 25 Union Street, Goodwin Hall, Kingston, Ontario K7L 3N6, Canada and Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, Room 215, San Francisco, CA 94158, USA.

Abstract

Protein interaction network-based pathway analysis (PINBPA) for genome-wide association studies (GWAS) has been developed as a Cytoscape app, to enable analysis of GWAS data in a network fashion. Users can easily import GWAS summary-level data, draw Manhattan plots, define blocks, prioritize genes with random walk with restart, detect enriched subnetworks and test the significance of subnetworks via a user-friendly interface.

AVAILABILITY AND IMPLEMENTATION:

PINBPA app is freely available in Cytoscape app store.

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

PMID:
25260698
DOI:
10.1093/bioinformatics/btu644
[Indexed for MEDLINE]

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