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

17 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

Fingerprint

Protein Interaction Maps
Protein Interaction Networks
Genome-Wide Association Study
Network Analysis
Electric network analysis
Application programs
Pathway
Genome
Genes
Proteins
Restart
User Interface
Random walk
User interfaces
Gene

All Science Journal Classification (ASJC) codes

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

Cite this

PINBPA : Cytoscape app for network analysis of GWAS data. / Wang, Lili; Matsushita, Takuya; Madireddy, Lohith; Mousavi, Parvin; Baranzini, Sergio E.

In: Bioinformatics, Vol. 31, No. 2, 15.01.2015, p. 262-264.

Research output: Contribution to journalArticle

Wang, L, Matsushita, T, Madireddy, L, Mousavi, P & Baranzini, SE 2015, 'PINBPA: Cytoscape app for network analysis of GWAS data', Bioinformatics, vol. 31, no. 2, pp. 262-264. https://doi.org/10.1093/bioinformatics/btu644
Wang, Lili ; Matsushita, Takuya ; Madireddy, Lohith ; Mousavi, Parvin ; Baranzini, Sergio E. / PINBPA : Cytoscape app for network analysis of GWAS data. In: Bioinformatics. 2015 ; Vol. 31, No. 2. pp. 262-264.
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