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Model storage, exchange and integration

The field of Computational Systems Neurobiology is maturing quickly. If one wants it to fulfil its central role in the new Integrative Neurobiology, the reuse of quantitative models needs to be facilitated. The community has to develop standards and guidelines in order to maximise the diffusion of i...

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Detalles Bibliográficos
Autor principal: Le Novère, Nicolas
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1775041/
https://www.ncbi.nlm.nih.gov/pubmed/17118155
http://dx.doi.org/10.1186/1471-2202-7-S1-S11
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author Le Novère, Nicolas
author_facet Le Novère, Nicolas
author_sort Le Novère, Nicolas
collection PubMed
description The field of Computational Systems Neurobiology is maturing quickly. If one wants it to fulfil its central role in the new Integrative Neurobiology, the reuse of quantitative models needs to be facilitated. The community has to develop standards and guidelines in order to maximise the diffusion of its scientific production, but also to render it more trustworthy. In the recent years, various projects tackled the problems of the syntax and semantics of quantitative models. More recently the international initiative BioModels.net launched three projects: (1) MIRIAM is a standard to curate and annotate models, in order to facilitate their reuse. (2) The Systems Biology Ontology is a set of controlled vocabularies aimed to be used in conjunction with models, in order to characterise their components. (3) BioModels Database is a resource that allows biologists to store, search and retrieve published mathematical models of biological interests. We expect that those resources, together with the use of formal languages such as SBML, will support the fruitful exchange and reuse of quantitative models.
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spelling pubmed-17750412007-01-18 Model storage, exchange and integration Le Novère, Nicolas BMC Neurosci Review The field of Computational Systems Neurobiology is maturing quickly. If one wants it to fulfil its central role in the new Integrative Neurobiology, the reuse of quantitative models needs to be facilitated. The community has to develop standards and guidelines in order to maximise the diffusion of its scientific production, but also to render it more trustworthy. In the recent years, various projects tackled the problems of the syntax and semantics of quantitative models. More recently the international initiative BioModels.net launched three projects: (1) MIRIAM is a standard to curate and annotate models, in order to facilitate their reuse. (2) The Systems Biology Ontology is a set of controlled vocabularies aimed to be used in conjunction with models, in order to characterise their components. (3) BioModels Database is a resource that allows biologists to store, search and retrieve published mathematical models of biological interests. We expect that those resources, together with the use of formal languages such as SBML, will support the fruitful exchange and reuse of quantitative models. BioMed Central 2006-10-30 /pmc/articles/PMC1775041/ /pubmed/17118155 http://dx.doi.org/10.1186/1471-2202-7-S1-S11 Text en Copyright © 2006 Le Novère; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Le Novère, Nicolas
Model storage, exchange and integration
title Model storage, exchange and integration
title_full Model storage, exchange and integration
title_fullStr Model storage, exchange and integration
title_full_unstemmed Model storage, exchange and integration
title_short Model storage, exchange and integration
title_sort model storage, exchange and integration
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1775041/
https://www.ncbi.nlm.nih.gov/pubmed/17118155
http://dx.doi.org/10.1186/1471-2202-7-S1-S11
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