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The systems biology format converter
BACKGROUND: Interoperability between formats is a recurring problem in systems biology research. Many tools have been developed to convert computational models from one format to another. However, they have been developed independently, resulting in redundancy of efforts and lack of synergy. RESULTS...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820913/ https://www.ncbi.nlm.nih.gov/pubmed/27044654 http://dx.doi.org/10.1186/s12859-016-1000-2 |
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author | Rodriguez, Nicolas Pettit, Jean-Baptiste Dalle Pezze, Piero Li, Lu Henry, Arnaud van Iersel, Martijn P. Jalowicki, Gael Kutmon, Martina Natarajan, Kedar N. Tolnay, David Stefan, Melanie I. Evelo, Chris T. Le Novère, Nicolas |
author_facet | Rodriguez, Nicolas Pettit, Jean-Baptiste Dalle Pezze, Piero Li, Lu Henry, Arnaud van Iersel, Martijn P. Jalowicki, Gael Kutmon, Martina Natarajan, Kedar N. Tolnay, David Stefan, Melanie I. Evelo, Chris T. Le Novère, Nicolas |
author_sort | Rodriguez, Nicolas |
collection | PubMed |
description | BACKGROUND: Interoperability between formats is a recurring problem in systems biology research. Many tools have been developed to convert computational models from one format to another. However, they have been developed independently, resulting in redundancy of efforts and lack of synergy. RESULTS: Here we present the System Biology Format Converter (SBFC), which provide a generic framework to potentially convert any format into another. The framework currently includes several converters translating between the following formats: SBML, BioPAX, SBGN-ML, Matlab, Octave, XPP, GPML, Dot, MDL and APM. This software is written in Java and can be used as a standalone executable or web service. CONCLUSIONS: The SBFC framework is an evolving software project. Existing converters can be used and improved, and new converters can be easily added, making SBFC useful to both modellers and developers. The source code and documentation of the framework are freely available from the project web site. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1000-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4820913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48209132016-04-06 The systems biology format converter Rodriguez, Nicolas Pettit, Jean-Baptiste Dalle Pezze, Piero Li, Lu Henry, Arnaud van Iersel, Martijn P. Jalowicki, Gael Kutmon, Martina Natarajan, Kedar N. Tolnay, David Stefan, Melanie I. Evelo, Chris T. Le Novère, Nicolas BMC Bioinformatics Software BACKGROUND: Interoperability between formats is a recurring problem in systems biology research. Many tools have been developed to convert computational models from one format to another. However, they have been developed independently, resulting in redundancy of efforts and lack of synergy. RESULTS: Here we present the System Biology Format Converter (SBFC), which provide a generic framework to potentially convert any format into another. The framework currently includes several converters translating between the following formats: SBML, BioPAX, SBGN-ML, Matlab, Octave, XPP, GPML, Dot, MDL and APM. This software is written in Java and can be used as a standalone executable or web service. CONCLUSIONS: The SBFC framework is an evolving software project. Existing converters can be used and improved, and new converters can be easily added, making SBFC useful to both modellers and developers. The source code and documentation of the framework are freely available from the project web site. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1000-2) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-05 /pmc/articles/PMC4820913/ /pubmed/27044654 http://dx.doi.org/10.1186/s12859-016-1000-2 Text en © Rodriguez et al. 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Rodriguez, Nicolas Pettit, Jean-Baptiste Dalle Pezze, Piero Li, Lu Henry, Arnaud van Iersel, Martijn P. Jalowicki, Gael Kutmon, Martina Natarajan, Kedar N. Tolnay, David Stefan, Melanie I. Evelo, Chris T. Le Novère, Nicolas The systems biology format converter |
title | The systems biology format converter |
title_full | The systems biology format converter |
title_fullStr | The systems biology format converter |
title_full_unstemmed | The systems biology format converter |
title_short | The systems biology format converter |
title_sort | systems biology format converter |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820913/ https://www.ncbi.nlm.nih.gov/pubmed/27044654 http://dx.doi.org/10.1186/s12859-016-1000-2 |
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