PathScore: a web tool for identifying altered pathways in cancer data. (8th August 2016)

• Record Type: Journal Article
• Authors: Gaffney, Stephen G.; Townsend, Jeffrey P.
• Is Part Of: Bioinformatics. Volume 32:Number 23(2016)
• Page Start: 3688
• Page End: 3690
• Publication Date: 2016-08-08
• Subjects: Bioinformatics -- Periodicals; Genomics -- Data processing -- Periodicals; Computational biology -- Periodicals; 572.80285
• DOI: 10.1093/bioinformatics/btw512
• Languages: English
• ISSNs: 1367-4803

Abstract

Abstract : Summary: PathScore quantifies the level of enrichment of somatic mutations within curated pathways, applying a novel approach that identifies pathways enriched across patients. The application provides several user-friendly, interactive graphic interfaces for data exploration, including tools for comparing pathway effect sizes, significance, gene-set overlap and enrichment differences between projects. Availability and Implementation: Web application available at pathscore.publichealth.yale.edu. Site implemented in Python and MySQL, with all major browsers supported. Source code available at: github.com/sggaffney/pathscore with a GPLv3 license. Contact: [e-mail]