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Escher: A Web Application for Building, Sharing, and Embedding Data-Rich
Visualizations of Biological Pathways
#MMPMID26313928
King ZA
; Dräger A
; Ebrahim A
; Sonnenschein N
; Lewis NE
; Palsson BO
PLoS Comput Biol
2015[Aug]; 11
(8
): e1004321
PMID26313928
show ga
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.
|*Computer Graphics
[MESH]
|*Internet
[MESH]
|*Software
[MESH]
|Computational Biology/*methods
[MESH]
|Image Processing, Computer-Assisted
[MESH]
|Metabolic Networks and Pathways/physiology
[MESH]
free
free
free
