@article{Bergmann2020,
  author     = {Bergmann, Frank T. and Czauderna, Tobias and Dorusoz, Ugur and Rougny, Adrien
               and Dr\"ager, Andreas and Tour\'e, Vasundra and Mazein, Alexander and Blinov,
               Michael L. and Luna, Augustin},
  journal    = {Journal of Integrative Bioinformatics},
  title      = {{Systems biology graphical notation markup language (SBGNML) version 0.3}},
  year       = {2020},
  issn       = {1613-4516},
  month      = jun,
  volume     = {17},  
  number     = {2-3},
  pages      = {20200016},
  publisher  = {De Gruyter},
  address    = {Berlin, Boston},
  abstract   = {This document defines Version 0.3 Markup Language (ML) support for the Systems
                Biology Graphical Notation (SBGN), a set of three complementary visual languages
                developed for biochemists, modelers, and computer scientists. SBGN aims at
                representing networks of biochemical interactions in a standard, unambiguous
                way to foster efficient and accurate representation, visualization, storage,
                exchange, and reuse of information on all kinds of biological knowledge, from
                gene regulation, to metabolism, to cellular signaling. SBGN is defined neutrally
                to programming languages and software encoding; however, it is oriented primarily
                towards allowing models to be encoded using XML, the eXtensible Markup Language.
                The notable changes from the previous version include the addition of attributes
                for better specify metadata about maps, as well as support for multiple maps,
                sub-maps, colors, and annotations. These changes enable a more efficient exchange
                of data to other commonly used systems biology formats (e.g., BioPAX and SBML)
                and between tools supporting SBGN (e.g., CellDesigner, Newt, Krayon, SBGN-ED,
                STON, cd2sbgnml, and MINERVA). More details on SBGN and related software are
                available at \url{http://sbgn.org}. With this effort, we hope to increase the
                adoption of SBGN in bioinformatics tools, ultimately enabling more researchers
                to visualize biological knowledge in a precise and unambiguous manner.},
  doi        = {10.1515/jib-2020-0016},
  keywords   = {biological process diagrams; network biology; pathway diagram; SBGN;
                systems biology; visualization},
  pdf        = {https://www.degruyter.com/view/journals/jib/17/2-3/article-20200016.pdf},
  url        = {https://www.degruyter.com/view/journals/jib/17/2-3/article-20200016.xml},
}