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EpiLog: A software for the logical modelling of epithelial dynamics

dc.contributor.authorVarela, Pedro L.
dc.contributor.authorRamos, Camila V.
dc.contributor.authorMonteiro, Pedro T.
dc.contributor.authorChaouiya, Claudine
dc.date.accessioned2020-03-11T15:50:45Z
dc.date.available2020-03-11T15:50:45Z
dc.date.issued2019-03-11
dc.description.abstractCellular responses are governed by regulatory networks subject to external signals from surrounding cells and to other micro-environmental cues. The logical (Boolean or multi-valued)  framework proved well suited to study such processes at the cellular level, by specifying qualitative models of involved signalling pathways and gene regulatory networks.  Here, we describe and illustrate the main features of EpiLog, a computational tool that implements an extension of the logical framework to the tissue level. EpiLog defines a collection of hexagonal cells over a 2D grid, which embodies a mono-layer epithelium. Basically, it defines a cellular automaton in which cell behaviours are driven by associated logical models subject to external signals.  EpiLog is freely available on the web at http://epilog-tool.org. It is implemented in Java (version ≥1.7 required) and the source code is provided at https://github.com/epilog-tool/epilog under a GNU General Public License v3.0.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVarela PL, Ramos CV, Monteiro PT and Chaouiya C. EpiLog: A software for the logical modelling of epithelial dynamics [version 2; peer review: 3 approved]. F1000Research 2019, 7:1145pt_PT
dc.identifier.doi10.12688/f1000research.15613.2pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.7/938
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationCoMEDy - A COmputational Modelling platform for Epithelial DYnamics to explore the role of epithelial-mesenchymal transition and stemness acquisition in cancer recurrence
dc.relationTowards a semi-automatic model revision of logical regulatory networks
dc.relationMALIN: Modular modelling and Analysis of Large biological Interacting Networks
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectLogical modelling, Multicellular regulatory networks, Cellular automaton, Hexagonal gridpt_PT
dc.titleEpiLog: A software for the logical modelling of epithelial dynamicspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCoMEDy - A COmputational Modelling platform for Epithelial DYnamics to explore the role of epithelial-mesenchymal transition and stemness acquisition in cancer recurrence
oaire.awardTitleTowards a semi-automatic model revision of logical regulatory networks
oaire.awardTitleMALIN: Modular modelling and Analysis of Large biological Interacting Networks
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FBEX-BCB%2F0772%2F2014/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FCEC%2F50021%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Investigador FCT/IF%2F01333%2F2013%2FCP1204%2FCT0001/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEIA-CCO%2F099229%2F2008/PT
oaire.citation.startPage1145pt_PT
oaire.citation.titleF1000Researchpt_PT
oaire.citation.volume7pt_PT
oaire.fundingStream3599-PPCDT
oaire.fundingStream5876
oaire.fundingStreamInvestigador FCT
oaire.fundingStream3599-PPCDT
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublicationaa102124-f77d-4293-965d-89e43da1d857
relation.isProjectOfPublicationb051f9e7-a087-4268-b37b-02e7fbde6231
relation.isProjectOfPublication4a7e79e3-146a-4397-b565-84d94792af53
relation.isProjectOfPublication820042aa-3860-49b5-9f01-646a11e76442
relation.isProjectOfPublication.latestForDiscoveryb051f9e7-a087-4268-b37b-02e7fbde6231

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