The Systems Biology Graphical Notation

Novère, Nicolas Le; Hucka, Michael; Mi, Huaiyu; Moodie, Stuart; Schreiber, Falk; Sorokin, Anatoly; Demir, Emek; Wegner, Katja; Aladjem, Mirit I.; Wimalaratne, Sarala M.

The Systems Biology Graphical Notation

Dateien

LeNovere_2-t7guztd17avw1.PDFGröße: 1013.08 KBDownloads: 6

Datum

2009

Autor:innen

Novère, Nicolas Le

Hucka, Michael

Mi, Huaiyu

Moodie, Stuart

Schreiber, Falk

Sorokin, Anatoly

Demir, Emek

Wegner, Katja

Aladjem, Mirit I.

Wimalaratne, Sarala M.

et al.

URI (zitierfähiger Link)

http://nbn-resolving.de/urn:nbn:de:bsz:352-2-t7guztd17avw1

DOI (zitierfähiger Link)

https://doi.org/10.1038/nbt.1558

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

Nature Biotechnology. Springer Science and Business Media LLC. 2009, 27(8), pp. 735-741. ISSN 1087-0156. eISSN 1546-1696. Available under: doi: 10.1038/nbt.1558

Zusammenfassung

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.

Fachgebiet (DDC)

004 Informatik

Zitieren

ISO 690

NOVÈRE, Nicolas Le, Michael HUCKA, Huaiyu MI, Stuart MOODIE, Falk SCHREIBER, Anatoly SOROKIN, Emek DEMIR, Katja WEGNER, Mirit I. ALADJEM, Sarala M. WIMALARATNE, 2009. The Systems Biology Graphical Notation. In: Nature Biotechnology. Springer Science and Business Media LLC. 2009, 27(8), pp. 735-741. ISSN 1087-0156. eISSN 1546-1696. Available under: doi: 10.1038/nbt.1558

BibTex

@article{Novere2009-08Syste-70046,
  year={2009},
  doi={10.1038/nbt.1558},
  title={The Systems Biology Graphical Notation},
  number={8},
  volume={27},
  issn={1087-0156},
  journal={Nature Biotechnology},
  pages={735--741},
  author={Novère, Nicolas Le and Hucka, Michael and Mi, Huaiyu and Moodie, Stuart and Schreiber, Falk and Sorokin, Anatoly and Demir, Emek and Wegner, Katja and Aladjem, Mirit I. and Wimalaratne, Sarala M.}
}

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Universitätsbibliographie

Nein

Begutachtet

Ja