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      The systems biology graphical notation

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      Author(s)
      Le Novère, N.
      Hucka, M.
      Mi, H.
      Moodie, S.
      Schreiber, F.
      Sorokin, A.
      Demir, Emek
      Wegner, K.
      Aladjem, M. I.
      Wimalaratne, S. M.
      Bergman, F. T.
      Gauges, R.
      Ghazal, P.
      Kawaji, H.
      Li, L.
      Matsuoka, Y.
      Villéger, A.
      Boyd, S. E.
      Calzone, L.
      Courtot, M.
      Doğrusöz, Uğur
      Freeman, T. C.
      Funahashi, A.
      Ghosh, S.
      Jouraku, A.
      Kim, S.
      Kolpakov, F.
      Luna, A.
      Sahle, S.
      Schmidt, E.
      Watterson, S.
      Wu, G.
      Goryanin, I.
      Kell, D. B.
      Sander, C.
      Sauro, H.
      Snoep, J. L.
      Kohn, K.
      Kitano, H.
      Date
      2009-08
      Source Title
      Nature Biotechnology
      Print ISSN
      1087-0156
      Electronic ISSN
      1546-1696
      Publisher
      Nature Publishing Group
      Volume
      27
      Issue
      8
      Pages
      735 - 741
      Language
      English
      Type
      Article
      Item Usage Stats
      309
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      693
      downloads
      Abstract
      Circuit diagrams and Unified Modeling Language diagrams are just two examples of standard visual languages that help accelerate work by promoting regularity, removing ambiguity and enabling software tool support for communication of complex information. Ironically, despite having one of the highest ratios of graphical to textual information, biology still lacks standard graphical notations. The recent deluge of biological knowledge makes addressing this deficit a pressing concern. Toward this goal, we present the Systems Biology Graphical Notation (SBGN), a visual language developed by a community of biochemists, modelers and computer scientists. SBGN consists of three complementary languages: process diagram, entity relationship diagram and activity flow diagram. Together they enable scientists to represent networks of biochemical interactions in a standard, unambiguous way. We believe that SBGN will 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. © 2009 Nature America, Inc.
      Keywords
      Activity flow
      Biochemical interactions
      Cellular signaling
      Circuit diagrams
      Complex information
      Computer scientists
      Entity relationship diagrams
      Gene regulations
      Graphical notation
      Process diagram
      Software tool
      Systems biology
      Textual information
      Unified modeling language diagrams
      Visual language
      Biology
      Knowledge representation
      Linguistics
      Query languages
      Standards
      Unified modeling language
      Accuracy
      Computer program
      Gene control
      Information processing
      Language
      Metabolic regulation
      Molecular biology
      Priority journal
      Signal transduction
      Computer graphics
      Internet
      Software
      Permalink
      http://hdl.handle.net/11693/38162
      Published Version (Please cite this version)
      http://dx.doi.org/10.1038/nbt.1558
      Collections
      • Bilkent Center for Bioinformatics (BCBI) 19
      • Department of Computer Engineering 1561
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