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Snoopy’s hybrid simulator: a tool to construct and simulate hybrid biological models
BACKGROUND: Hybrid simulation of (computational) biochemical reaction networks, which combines stochastic and deterministic dynamics, is an important direction to tackle future challenges due to complex and multi-scale models. Inherently hybrid computational models of biochemical networks entail two...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5534078/ https://www.ncbi.nlm.nih.gov/pubmed/28754122 http://dx.doi.org/10.1186/s12918-017-0449-6 |
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author | Herajy, Mostafa Liu, Fei Rohr, Christian Heiner, Monika |
author_facet | Herajy, Mostafa Liu, Fei Rohr, Christian Heiner, Monika |
author_sort | Herajy, Mostafa |
collection | PubMed |
description | BACKGROUND: Hybrid simulation of (computational) biochemical reaction networks, which combines stochastic and deterministic dynamics, is an important direction to tackle future challenges due to complex and multi-scale models. Inherently hybrid computational models of biochemical networks entail two time scales: fast and slow. Therefore, it is intricate to efficiently and accurately analyse them using only either deterministic or stochastic simulation. However, there are only a few software tools that support such an approach. These tools are often limited with respect to the number as well as the functionalities of the provided hybrid simulation algorithms. RESULTS: We present Snoopy’s hybrid simulator, an efficient hybrid simulation software which builds on Snoopy, a tool to construct and simulate Petri nets. Snoopy’s hybrid simulator provides a wide range of state-of-the-art hybrid simulation algorithms. Using this tool, a computational model of biochemical networks can be constructed using a (coloured) hybrid Petri net’s graphical notations, or imported from other compatible formats (e.g. SBML), and afterwards executed via dynamic or static hybrid simulation. CONCLUSION: Snoopy’s hybrid simulator is a platform-independent tool providing an accurate and efficient simulation of hybrid (biological) models. It can be downloaded free of charge as part of Snoopy from http://www-dssz.informatik.tu-cottbus.de/DSSZ/Software/Snoopy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-017-0449-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5534078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55340782017-08-03 Snoopy’s hybrid simulator: a tool to construct and simulate hybrid biological models Herajy, Mostafa Liu, Fei Rohr, Christian Heiner, Monika BMC Syst Biol Software BACKGROUND: Hybrid simulation of (computational) biochemical reaction networks, which combines stochastic and deterministic dynamics, is an important direction to tackle future challenges due to complex and multi-scale models. Inherently hybrid computational models of biochemical networks entail two time scales: fast and slow. Therefore, it is intricate to efficiently and accurately analyse them using only either deterministic or stochastic simulation. However, there are only a few software tools that support such an approach. These tools are often limited with respect to the number as well as the functionalities of the provided hybrid simulation algorithms. RESULTS: We present Snoopy’s hybrid simulator, an efficient hybrid simulation software which builds on Snoopy, a tool to construct and simulate Petri nets. Snoopy’s hybrid simulator provides a wide range of state-of-the-art hybrid simulation algorithms. Using this tool, a computational model of biochemical networks can be constructed using a (coloured) hybrid Petri net’s graphical notations, or imported from other compatible formats (e.g. SBML), and afterwards executed via dynamic or static hybrid simulation. CONCLUSION: Snoopy’s hybrid simulator is a platform-independent tool providing an accurate and efficient simulation of hybrid (biological) models. It can be downloaded free of charge as part of Snoopy from http://www-dssz.informatik.tu-cottbus.de/DSSZ/Software/Snoopy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-017-0449-6) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-28 /pmc/articles/PMC5534078/ /pubmed/28754122 http://dx.doi.org/10.1186/s12918-017-0449-6 Text en © The Author(s) 2017 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 Herajy, Mostafa Liu, Fei Rohr, Christian Heiner, Monika Snoopy’s hybrid simulator: a tool to construct and simulate hybrid biological models |
title | Snoopy’s hybrid simulator: a tool to construct and simulate hybrid biological models |
title_full | Snoopy’s hybrid simulator: a tool to construct and simulate hybrid biological models |
title_fullStr | Snoopy’s hybrid simulator: a tool to construct and simulate hybrid biological models |
title_full_unstemmed | Snoopy’s hybrid simulator: a tool to construct and simulate hybrid biological models |
title_short | Snoopy’s hybrid simulator: a tool to construct and simulate hybrid biological models |
title_sort | snoopy’s hybrid simulator: a tool to construct and simulate hybrid biological models |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5534078/ https://www.ncbi.nlm.nih.gov/pubmed/28754122 http://dx.doi.org/10.1186/s12918-017-0449-6 |
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