PathwayMapper: A collaborative visual web editor for cancer pathways and genomic data

Istemi Bahceci, Ugur Dogrusoz, Konnor C. La, Ozgun Babur, Jianjiong Gao, Nikolaus Schultz

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

Motivation: While existing network visualization tools enable the exploration of cancer genomics data, most biologists prefer simplified, curated pathway diagrams, such as those featured in many manuscripts from The Cancer Genome Atlas (TCGA). These pathway diagrams typically summarize how a pathway is altered in individual cancer types, including alteration frequencies for each gene. Results: To address this need, we developed the web-based tool PathwayMapper, which runs in most common web browsers. It can be used for viewing pre-curated cancer pathways, or as a graphical editor for creating new pathways, with the ability to overlay genomic alteration data from cBioPortal. In addition, a collaborative mode is available that allows scientists to co-operate interactively on constructing pathways, with support for concurrent modifications and built-in conflict resolution.

Original languageEnglish (US)
Pages (from-to)2238-2240
Number of pages3
JournalBioinformatics
Volume33
Issue number14
DOIs
Publication statusPublished - Jul 15 2017

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ASJC Scopus subject areas

  • Statistics and Probability
  • Medicine(all)
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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