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Analysing Gene Networks with PDP Systems. Arabidopsis thaliana, a Case Study


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dc.creator Valencia Cabrera, Luis
dc.creator García Quismondo, Manuel
dc.creator Pérez Jiménez, Mario de Jesús
dc.creator Su, Yansen
dc.creator Yu, Hui
dc.creator Pan, Linqiang 2016-02-02T10:54:10Z 2016-02-02T10:54:10Z 2013
dc.identifier.isbn 978-84-940691-9-2 es
dc.description.abstract Gene Regulatory Networks (GRNs) are a useful tool for biologists to understand the interactions among genes in living organisms. A special kind of GRNs known as Logic Networks (LNs) has been recently introduced. These networks consider that the state of one or more genes can in uence another one. In a previous work, we proposed a Membrane Computing model which simulates the dynamics of LNs by drawing on the improved LAPP algorithm. In this paper we provide a case study for our LN model on a network which regulates the circadian rhythms of long{term studied plant Arabidopsis thaliana. We outline the software tools employed and propose a methodology for analysing LNs on our Membrane Computing model. At the end of the paper, some conclusions and future work are included. es
dc.description.sponsorship Ministerio de Ciencia e Innovación TIN2012-37434
dc.description.sponsorship Junta de Andalucía P08-TIC-04200
dc.format application/pdf es
dc.language.iso eng es
dc.publisher Fénix Editora es
dc.relation.ispartof Proceedings of the Eleventh Brainstorming Week on Membrane Computing, 257-272. Sevilla, E.T.S. de Ingeniería Informática, 4-8 de Febrero, 2013, es
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 Internacional *
dc.rights.uri *
dc.subject Bioinformatics es
dc.subject Genetics es
dc.subject Gene networks es
dc.subject Membrane Computing es
dc.subject MeCoSim es
dc.subject Software engineering es
dc.subject Modelling es
dc.subject LAPP es
dc.subject Logic networks es
dc.title Analysing Gene Networks with PDP Systems. Arabidopsis thaliana, a Case Study es
dc.type info:eu-repo/semantics/conferenceObject es
dc.type.version info:eu-repo/semantics/publishedVersion es
dc.rights.accessrights info:eu-repo/semantics/openAccess es
dc.contributor.affiliation Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial es
dc.relation.projectID TIN2012-37434
dc.relation.projectID P08-TIC-04200 Universidad de Sevilla. TIC193: Computación Natural
dc.contributor.funder Ministerio de Ciencia e Innovación (MICIN). España
dc.contributor.funder Junta de Andalucía
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