PINBPA: Cytoscape app for network analysis of GWAS data

Lili Wang, Takuya Matsushita, Lohith Madireddy, Parvin Mousavi, Sergio E. Baranzini

    Research output: Contribution to journalArticlepeer-review

    23 Citations (Scopus)

    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.

    Original languageEnglish
    Pages (from-to)262-264
    Number of pages3
    JournalBioinformatics
    Volume31
    Issue number2
    DOIs
    Publication statusPublished - Jan 15 2015

    All Science Journal Classification (ASJC) codes

    • Statistics and Probability
    • Biochemistry
    • Molecular Biology
    • Computer Science Applications
    • Computational Theory and Mathematics
    • Computational Mathematics

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