PINBPA: Cytoscape app for network analysis of GWAS data

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

Research output: Contribution to journalArticle

21 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
Externally publishedYes

All Science Journal Classification (ASJC) codes

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

Fingerprint Dive into the research topics of 'PINBPA: Cytoscape app for network analysis of GWAS data'. Together they form a unique fingerprint.

  • Cite this