PINBPA: Cytoscape app for network analysis of GWAS data | Zendy

Lili Wang | Zendy; Takuya Matsushita | Zendy; Lohith Madireddy | Zendy; Parvin Mousavi | Zendy; Sergio E. Baranzini | Zendy

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PINBPA: Cytoscape app for network analysis of GWAS data

Author(s) -

Lili Wang,

Takuya Matsushita,

Lohith Madireddy,

Parvin Mousavi,

Sergio E. Baranzini

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu644

Subject(s) - genome wide association study , computer science , interface (matter) , data mining , computational biology , biology , gene , genetics , operating system , single nucleotide polymorphism , bubble , maximum bubble pressure method , genotype

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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