title: PathScore: a web tool for identifying altered pathways in cancer data.
abstract: 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.
  
  
  
  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.
  
  
  
  stephen.gaffney@yale.edu.
authors: Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT 06511, USA.
authors: Stephen G
authors: SG
authors: Gaffney
authors: Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT 06511, USA.|Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA.
authors: Jeffrey P
authors: JP
authors: Townsend
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D006801:Humans; D020407:Internet; D053858:Metabolic Networks and Pathways / Q000235:genetics; D009154:Mutation; D009369:Neoplasms / Q000235:genetics*; D012984:Software