The Systems Biology Graphical Notation

A group of scientists in the systems biology community propose visual conventions for drawing biological diagrams. 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 enab...

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Vydané v:Nature biotechnology Ročník 27; číslo 8; s. 735 - 741
Hlavní autori: Novère, Nicolas Le, Hucka, Michael, Mi, Huaiyu, Moodie, Stuart, Schreiber, Falk, Sorokin, Anatoly, Demir, Emek, Wegner, Katja, Aladjem, Mirit I, Wimalaratne, Sarala M, Bergman, Frank T, Gauges, Ralph, Ghazal, Peter, Kawaji, Hideya, Li, Lu, Matsuoka, Yukiko, Villéger, Alice, Boyd, Sarah E, Calzone, Laurence, Courtot, Melanie, Dogrusoz, Ugur, Freeman, Tom C, Funahashi, Akira, Ghosh, Samik, Jouraku, Akiya, Kim, Sohyoung, Kolpakov, Fedor, Luna, Augustin, Sahle, Sven, Schmidt, Esther, Watterson, Steven, Wu, Guanming, Goryanin, Igor, Kell, Douglas B, Sander, Chris, Sauro, Herbert, Snoep, Jacky L, Kohn, Kurt, Kitano, Hiroaki
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Nature Publishing Group US 01.08.2009
Nature Publishing Group
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ISSN:1087-0156, 1546-1696, 1546-1696
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Shrnutí:A group of scientists in the systems biology community propose visual conventions for drawing biological diagrams. 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.
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ISSN:1087-0156
1546-1696
1546-1696
DOI:10.1038/nbt.1558