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dc.contributor.authorOrtega, Raúles_ES
dc.contributor.authorWulff, Enriquees_ES
dc.contributor.authorFortuna, Miguel A.es_ES
dc.date.accessioned2023-12-14T07:19:27Z-
dc.date.available2023-12-14T07:19:27Z-
dc.date.issued2023-09-09-
dc.identifier.citationScientific Data 10: 608 (2023)es_ES
dc.identifier.urihttp://hdl.handle.net/10261/340591-
dc.description.abstractThe Ontology for Avida (OntoAvida) aims to develop an integrated vocabulary for the description of Avida, the most widely used computational approach for performing experimental evolution using digital organisms-self-replicating computer programs that evolve within a user-defined computational environment. The lack of a clearly defined vocabulary makes some biologists feel reluctant to embrace the field of digital evolution. This integrated framework empowers biologists by equipping them with the necessary tools to explore and analyze the field of digital evolution more effectively. By leveraging the vocabulary of Avida, researchers can gain deeper insights into the evolutionary processes and dynamics of digital organisms. In addition, OntoAvida allows researchers to make inference based on certain rules and constraints, facilitate the reproducibility of in silico evolution experiments and trace the provenance of the data stored in avidaDB-an RDF database containing the genomes, transcriptomes, and phenotypes of more than a million digital organisms. OntoAvida is part of the Open Biological and Biomedical Ontologies (OBO Foundry) and is available at http://www.obofoundry.org/ontology/ontoavida.html .es_ES
dc.description.sponsorshipThis work was supported by the Spanish Ministry of Science and Innovation through the Ramón y Cajal Programme (RyC2018-024115-1) and Knowledge Generation Grant Programme (PID2019-104345GA-I00), as well as by Plan Andaluz de Investigación, Desarrollo e Innovación (PAIDI 2020) of Junta de Andalucía (PY20_00765).es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherNature Publishing Groupes_ES
dc.relationinfo:eu-repo/grantAgreement/AEI//RYC2018-024115-1es_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104345GA-I00/ES/LA RED COEVOLUTIVA DE LA BIODIVERSIDAD/es_ES
dc.relation.isversionofPublisher's versiones_ES
dc.relation.isbasedonThe underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.1038/s41597-023-02514-3-
dc.rightsopenAccesses_ES
dc.subjectComputational platforms and environmentses_ES
dc.subjectSoftwarees_ES
dc.titleOntology for the Avida digital evolution platformes_ES
dc.typeartículoes_ES
dc.identifier.doi10.1038/s41597-023-02514-3-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.1038/s41597-023-02514-3es_ES
dc.identifier.e-issn2052-4463-
dc.rights.licensehttp://creativecommons.org/licenses/by/4.0/es_ES
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España)es_ES
dc.contributor.funderAgencia Estatal de Investigación (España)es_ES
dc.contributor.funderEuropean Commissiones_ES
dc.contributor.funderConsejo Superior de Investigaciones Científicas (España)es_ES
dc.contributor.funderJunta de Andalucíaes_ES
dc.relation.csices_ES
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dc.identifier.funderhttp://dx.doi.org/10.13039/501100003339es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100011033es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100011011es_ES
dc.contributor.orcidFortuna, Miguel A. [0000-0002-8374-1941]es_ES
dc.identifier.pmid37689762-
dc.identifier.scopus2-s2.0-85170343636-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85170343636-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.grantfulltextopen-
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item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeartículo-
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