Paper Info
Title
Escher: A Web Application For Building, Sharing, And Embedding Data-Rich Visualizations Of Biological Pathways
Abstract
Escher is a web application for visualizing data on biological pathways. Three key features make Escher a uniquely effective tool for pathway visualization. First, users can rapidly design new pathway maps. Escher provides pathway suggestions based on user data and genome-scale models, so users can draw pathways in a semi-automated way. Second, users can visualize data related to genes or proteins on the associated reactions and pathways, using rules that define which enzymes catalyze each reaction. Thus, users can identify trends in common genomic data types (e.g. RNA-Seq, proteomics, ChIP)-in conjunction with metabolite-and reaction-oriented data types (e.g. metabolomics, fluxomics). Third, Escher harnesses the strengths of web technologies (SVG, D3, developer tools) so that visualizations can be rapidly adapted, extended, shared, and embedded. This paper provides examples of each of these features and explains how the development approach used for Escher can be used to guide the development of future visualization tools.
Year
DOI
Venue
2015
10.1371/journal.pcbi.1004321
PLOS COMPUTATIONAL BIOLOGY
Field
DocType
Volume
Scalable Vector Graphics,Escher,Data visualization,World Wide Web,Computer science,Visualization,Fluxomics,Data type,Web application,Bioinformatics,The Internet
Journal
11
Issue
ISSN
Citations 
8
1553-734X
19
PageRank 
References 
Authors
1.02
23
6
Name
Order
Citations
PageRank
Zachary A. King1604.97
Andreas Dräger229222.16
Ali Ebrahim3604.31
Nikolaus Sonnenschein4373.33
Nathan E Lewis5684.24
Bernhard O. Palsson675167.99