PINBPA: cytoscape app for network analysis of GWAS data.

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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.

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Author and article information

Journal

Journal ID (iso-abbrev): Bioinformatics

Title: Bioinformatics (Oxford, England)

Publisher: Oxford University Press (OUP)

ISSN (Electronic): 1367-4811

ISSN (Print): 1367-4803

Publication date (Electronic): Jan 15 2015

Volume: 31

Issue: 2

Affiliations

[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.

Article

Publisher Item ID: btu644

DOI: 10.1093/bioinformatics/btu644

PubMed ID: 25260698

SO-VID: e341b1fa-e962-4bc3-b78c-8f55b9d7ee08

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