EpiLog: A software for the logical modelling of epithelial dynamics [version 1; referees: 2 approved]

Cellular 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 invo...

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Main Authors: Pedro L. Varela, Camila V. Ramos, Pedro T. Monteiro, Claudine Chaouiya
Format: Article
Language:English
Published: F1000 Research Ltd 2018-07-01
Series:F1000Research
Online Access:https://f1000research.com/articles/7-1145/v1
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spelling doaj-4b4f32e46a5a48649ad88d6067c2c0e62020-11-25T03:45:56ZengF1000 Research LtdF1000Research2046-14022018-07-01710.12688/f1000research.15613.117032EpiLog: A software for the logical modelling of epithelial dynamics [version 1; referees: 2 approved]Pedro L. Varela0Camila V. Ramos1Pedro T. Monteiro2Claudine Chaouiya3Instituto Superior Técnico, Universidade de Lisboa, Lisbon, P-1049-001, PortugalINESC-ID, Lisbon, P-1000-029, PortugalINESC-ID, Lisbon, P-1000-029, PortugalInstituto Gulbenkian de Ciência, Oeiras, P-2780-156, PortugalCellular 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.https://f1000research.com/articles/7-1145/v1
collection DOAJ
language English
format Article
sources DOAJ
author Pedro L. Varela
Camila V. Ramos
Pedro T. Monteiro
Claudine Chaouiya
spellingShingle Pedro L. Varela
Camila V. Ramos
Pedro T. Monteiro
Claudine Chaouiya
EpiLog: A software for the logical modelling of epithelial dynamics [version 1; referees: 2 approved]
F1000Research
author_facet Pedro L. Varela
Camila V. Ramos
Pedro T. Monteiro
Claudine Chaouiya
author_sort Pedro L. Varela
title EpiLog: A software for the logical modelling of epithelial dynamics [version 1; referees: 2 approved]
title_short EpiLog: A software for the logical modelling of epithelial dynamics [version 1; referees: 2 approved]
title_full EpiLog: A software for the logical modelling of epithelial dynamics [version 1; referees: 2 approved]
title_fullStr EpiLog: A software for the logical modelling of epithelial dynamics [version 1; referees: 2 approved]
title_full_unstemmed EpiLog: A software for the logical modelling of epithelial dynamics [version 1; referees: 2 approved]
title_sort epilog: a software for the logical modelling of epithelial dynamics [version 1; referees: 2 approved]
publisher F1000 Research Ltd
series F1000Research
issn 2046-1402
publishDate 2018-07-01
description Cellular 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.
url https://f1000research.com/articles/7-1145/v1
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AT pedrotmonteiro epilogasoftwareforthelogicalmodellingofepithelialdynamicsversion1referees2approved
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