The systems biology graphical notation

Date
2009-08
Advisor
Instructor
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
Journal Title
Journal ISSN
Volume Title
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.

Course
Other identifiers
Book Title
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
Citation
Published Version (Please cite this version)