Synonyms
Definition
SBML (the Systems Biology Markup Language, http://sbml.org) is a representation format designed to enable software systems to communicate and store computational models of biological processes. It is not intended as a universal language for quantitative models; rather, SBML’s purpose is to serve as a lingua franca for exchanging the essential aspects of a computational model between widely different software systems and databases.
Detailed Description
A vast number of modeling and simulation software tools are available today for research in biological domains such as computational neuroscience. This wealth of resources is a boon to researchers, but it also presents interoperability problems. Different software tools for systems biology are implemented in different programming languages, run on different operating systems, express models using different mathematical frameworks, provide different analysis methods, present different user interfaces, and support...
Reference
Hucka M, Finney A, Sauro HM, Bolouri H, Doyle JC, Kitano H, Arkin AP, Bornstein BJ, Bray D, Cornish-Bowden A, Cuellar AA, Dronov S, Gilles ED, Ginkel M, Gor V, Goryanin II, Hedley WJ, Hodgman TC, Hofmeyr J-HS, Hunter PJ, Juty NS, Kasberger JL, Kremling A, Kummer U, Le Novère N, Loew LM, Lucio D, Mendes P, Minch E, Mjolsness ED, Nakayama Y, Nelson MR, Nielsen PF, Sakurada T, Schaff JC, Shapiro BE, Shimizu TS, Spence HD, Stelling J, Takahashi K, Tomita M, Wagner JM, Wang J (2003) The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. Bioinformatics 19:524–531
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this entry
Cite this entry
Hucka, M. (2013). Systems Biology Markup Language (SBML). In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_376-4
Download citation
DOI: https://doi.org/10.1007/978-1-4614-7320-6_376-4
Received:
Accepted:
Published:
Publisher Name: Springer, New York, NY
Online ISBN: 978-1-4614-7320-6
eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences