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SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools

2013-12-10Journal article Open access
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dc.contributor.authorChaouiya, Claudine
dc.contributor.authorBérenguier, Duncan
dc.contributor.authorKeating, Sarah M
dc.contributor.authorNaldi, Aurélien
dc.contributor.authorvan Iersel, Martijn P
dc.contributor.authorRodriguez, Nicolas
dc.contributor.authorDräger, Andreas
dc.contributor.authorBüchel, Finja
dc.contributor.authorCokelaer, Thomas
dc.contributor.authorKowal, Bryan
dc.contributor.authorWicks, Benjamin
dc.contributor.authorGonçalves, Emanuel
dc.contributor.authorDorier, Julien
dc.contributor.authorPage, Michel
dc.contributor.authorMonteiro, Pedro T
dc.contributor.authorvon Kamp, Axel
dc.contributor.authorXenarios, Ioannis
dc.contributor.authorde Jong, Hidde
dc.contributor.authorHucka, Michael
dc.contributor.authorKlamt, Steffen
dc.contributor.authorThieffry, Denis
dc.contributor.authorLe Novère, Nicolas
dc.contributor.authorSaez-Rodriguez, Julio
dc.contributor.authorHelikar, Tomáš
dc.date.accessioned2015-10-23T15:56:13Z
dc.date.available2015-10-23T15:56:13Z
dc.date.issued2013-12-10
dc.description.abstractQualitative frameworks, especially those based on the logical discrete formalism, are increasingly used to model regulatory and signalling networks. A major advantage of these frameworks is that they do not require precise quantitative data, and that they are well-suited for studies of large networks. While numerous groups have developed specific computational tools that provide original methods to analyse qualitative models, a standard format to exchange qualitative models has been missing.pt_PT
dc.description.sponsorshipNebraska NASA Space Grant Consortium grant: (“Technology for collaborative biomedical research”), National Institutes of Health grant support: (#5R01DA030962), US National Institute of General Medical Sciences support: (#GM070923), Swiss Federal Government through the Federal Office of Education Science and Innovation (SERI) and the European Commission FP6 project ENFIN (Experimental Network for Functional INtegration–LSHG-CT-2005-518254), FCT grant: (Pest-OE/EEI/LA002), , Federal Ministry of Education and Research (BMBF, Germany) as part of the Virtual Liver Network grants : (0315756, 0315744), EMBL-EBI.pt_PT
dc.identifier10.1186/1752-0509-7-135
dc.identifier.citationChaouiya et al. : SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools. BMC Systems Biology 2013 7 :135.pt_PT
dc.identifier.doi10.1186/1752-0509-7-135
dc.identifier.urihttp://hdl.handle.net/10400.7/438
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherBioMed Centralpt_PT
dc.relationFrom Data to Models: New Bioinformatics Methods and Tools for Data-Driven Predictive Dynamic Modelling in Biotechnological Applications
dc.relationMALIN: Modular modelling and Analysis of Large biological Interacting Networks
dc.relationAutomated multi-level modeling of biological systems considering physico-chemical constraints
dc.relation.publisherversionhttp://www.biomedcentral.com/1752-0509/7/135pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleSBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and toolspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleFrom Data to Models: New Bioinformatics Methods and Tools for Data-Driven Predictive Dynamic Modelling in Biotechnological Applications
oaire.awardTitleMALIN: Modular modelling and Analysis of Large biological Interacting Networks
oaire.awardTitleAutomated multi-level modeling of biological systems considering physico-chemical constraints
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/289434/EU
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEIA-CCO%2F099229%2F2008/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/332020/EU
oaire.citation.endPage15pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleBMC Systems Biologypt_PT
oaire.citation.volume7pt_PT
oaire.fundingStreamFP7
oaire.fundingStream3599-PPCDT
oaire.fundingStreamFP7
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublication54767317-d391-4ed9-8fd8-9b50873c51c5
relation.isProjectOfPublication820042aa-3860-49b5-9f01-646a11e76442
relation.isProjectOfPublicationcd896f57-4046-4a66-9b5b-dd2338abacf4
relation.isProjectOfPublication.latestForDiscovery54767317-d391-4ed9-8fd8-9b50873c51c5

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