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LibSBMLSim: a reference implementation of fully functional SBML simulator
Motivation: The Systems Biology Markup Language (SBML) is currently supported by >230 software tools, among which 160 support numerical integration of ordinary differential equation (ODE) models. Although SBML is a widely accepted standard within this field, there is still no language-neutral lib...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3661052/ https://www.ncbi.nlm.nih.gov/pubmed/23564843 http://dx.doi.org/10.1093/bioinformatics/btt157 |
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author | Takizawa, Hiromu Nakamura, Kazushige Tabira, Akito Chikahara, Yoichi Matsui, Tatsuhiro Hiroi, Noriko Funahashi, Akira |
author_facet | Takizawa, Hiromu Nakamura, Kazushige Tabira, Akito Chikahara, Yoichi Matsui, Tatsuhiro Hiroi, Noriko Funahashi, Akira |
author_sort | Takizawa, Hiromu |
collection | PubMed |
description | Motivation: The Systems Biology Markup Language (SBML) is currently supported by >230 software tools, among which 160 support numerical integration of ordinary differential equation (ODE) models. Although SBML is a widely accepted standard within this field, there is still no language-neutral library that supports all features of SBML for simulating ODE models. Therefore, a demand exists for a simple portable implementation of a numerical integrator that supports SBML to enhance the development of a computational platform for systems biology. Results: We implemented a library called libSBMLSim, which supports all the features of SBML and confirmed that the library passes all tests in the SBML test suite including those for SBML Events, AlgebraicRules, ‘fast’ attribute on Reactions and Delay. LibSBMLSim is implemented in the C programming language and does not depend on any third-party library except libSBML, which is a library to handle SBML documents. For the numerical integrator, both explicit and implicit methods are written from scratch to support all the functionality of SBML features in a straightforward implementation. We succeeded in implementing libSBMLSim as a platform-independent library that can run on most common operating systems (Windows, MacOSX and Linux) and also provides several language bindings (Java, C#, Python and Ruby). Availability: The source code of libSBMLSim is available from http://fun.bio.keio.ac.jp/software/libsbmlsim/. LibSBMLSim is distributed under the terms of LGPL. Contact: funa@bio.keio.ac.jp Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-3661052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-36610522013-05-22 LibSBMLSim: a reference implementation of fully functional SBML simulator Takizawa, Hiromu Nakamura, Kazushige Tabira, Akito Chikahara, Yoichi Matsui, Tatsuhiro Hiroi, Noriko Funahashi, Akira Bioinformatics Applications Notes Motivation: The Systems Biology Markup Language (SBML) is currently supported by >230 software tools, among which 160 support numerical integration of ordinary differential equation (ODE) models. Although SBML is a widely accepted standard within this field, there is still no language-neutral library that supports all features of SBML for simulating ODE models. Therefore, a demand exists for a simple portable implementation of a numerical integrator that supports SBML to enhance the development of a computational platform for systems biology. Results: We implemented a library called libSBMLSim, which supports all the features of SBML and confirmed that the library passes all tests in the SBML test suite including those for SBML Events, AlgebraicRules, ‘fast’ attribute on Reactions and Delay. LibSBMLSim is implemented in the C programming language and does not depend on any third-party library except libSBML, which is a library to handle SBML documents. For the numerical integrator, both explicit and implicit methods are written from scratch to support all the functionality of SBML features in a straightforward implementation. We succeeded in implementing libSBMLSim as a platform-independent library that can run on most common operating systems (Windows, MacOSX and Linux) and also provides several language bindings (Java, C#, Python and Ruby). Availability: The source code of libSBMLSim is available from http://fun.bio.keio.ac.jp/software/libsbmlsim/. LibSBMLSim is distributed under the terms of LGPL. Contact: funa@bio.keio.ac.jp Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2013-06-01 2013-04-05 /pmc/articles/PMC3661052/ /pubmed/23564843 http://dx.doi.org/10.1093/bioinformatics/btt157 Text en © The Author 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Takizawa, Hiromu Nakamura, Kazushige Tabira, Akito Chikahara, Yoichi Matsui, Tatsuhiro Hiroi, Noriko Funahashi, Akira LibSBMLSim: a reference implementation of fully functional SBML simulator |
title | LibSBMLSim: a reference implementation of fully functional SBML simulator |
title_full | LibSBMLSim: a reference implementation of fully functional SBML simulator |
title_fullStr | LibSBMLSim: a reference implementation of fully functional SBML simulator |
title_full_unstemmed | LibSBMLSim: a reference implementation of fully functional SBML simulator |
title_short | LibSBMLSim: a reference implementation of fully functional SBML simulator |
title_sort | libsbmlsim: a reference implementation of fully functional sbml simulator |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3661052/ https://www.ncbi.nlm.nih.gov/pubmed/23564843 http://dx.doi.org/10.1093/bioinformatics/btt157 |
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