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


Authors: Bahceci, I.; Dogrusoz, U.; La, K. C.; Babur, O.; Gao, J.; Schultz, N.
Article Title: PathwayMapper: A collaborative visual web editor for cancer pathways and genomic data
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. © 2017 The Author. Published by Oxford University Press. All rights reserved.
Journal Title: Bioinformatics
Volume: 33
Issue: 14
ISSN: 1367-4803
Publisher: Oxford University Press  
Date Published: 2017-07-15
Start Page: 2238
End Page: 2240
Language: English
DOI: 10.1093/bioinformatics/btx149
PROVIDER: scopus
PUBMED: 28334343
PMCID: PMC5859976
DOI/URL:
Notes: Conference Paper -- Export Date: 2 August 2017 -- Source: Scopus
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  1. Nikolaus D Schultz
    486 Schultz
  2. Konnor C La
    9 La