@article{King2015a,
  author    = {King, Zachary A. and Dr\"ager, Andreas and Ebrahim, Ali and Sonnenschein, Nikolaus
    and Lewis, Nathan E. and Palsson, Bernhard O.},
  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 enzmyes 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.},
  publisher = {Public Library of Science},
  journal   = {PLoS Computational Biology},
  year      = {2015},
  month     = aug,
  issn      = {1553-7358},
  pages     = {e1004321},
  volume    = {11},
  number    = {8},
  nlm-id    = {101238922},
  pii       = {PCOMPBIOL-D-15-00439},
  pmc       = {PMC4552468},
  pmid      = {26313928},
  url       = {https://doi.org/10.1371/journal.pcbi.1004321},
  doi       = {10.1371/journal.pcbi.1004321},
  keywords  = {Data visualization; Metabolites; Web-based application; Genomic databases; Genome
    analysis; Enzymes; Protein metabolism; Genomic libraries},
}