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Artificial intelligence: the human response to approach the complexity of big data in biology

hal.structure.identifierUniversity of Arizona
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorMELANDRI, Giovanni
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorR-RADOHERY, Georges
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorBEAUMONT, Chloé
hal.structure.identifierInternational Centre for Theoretical Sciences [TIFR] [ICTS-TIFR]
dc.contributor.authorDE CRIPAN, Sara
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorMULLER, Coralie
hal.structure.identifierEurecat - Centro Tecnológico de Catalunya
dc.contributor.authorPIRAS, Luca
hal.structure.identifierUniversidade do Minho = University of Minho [Braga]
dc.contributor.authorPEREIRA, Maria
hal.structure.identifierUniversidade do Minho = University of Minho [Braga]
dc.contributor.authorSALVADOR, Andreia
hal.structure.identifierInternational Centre for Theoretical Sciences [TIFR] [ICTS-TIFR]
dc.contributor.authorDOMINGO-ALMENARA, Xavier
hal.structure.identifierCluster of Excellence on Plant Sciences [CEPLAS]
dc.contributor.authorBOLGER, Marie
hal.structure.identifierBiologie du fruit et pathologie [BFP]
hal.structure.identifierPlateforme Bordeaux Metabolome
dc.contributor.authorCOLOMBIÉ, Sophie
hal.structure.identifierBiologie du fruit et pathologie [BFP]
hal.structure.identifierPlateforme Bordeaux Metabolome
dc.contributor.authorPRIGENT, Sylvain
hal.structure.identifierEurecat - Centro Tecnológico de Catalunya
dc.contributor.authorARECHEDERRA, Biotza
hal.structure.identifierEurecat - Centro Tecnológico de Catalunya
dc.contributor.authorCANELA, Nuria
hal.structure.identifierUniversité de Bordeaux [UB]
hal.structure.identifierPlateforme Bordeaux Metabolome
dc.contributor.authorPÉTRIACQ, Pierre
dc.date.accessioned2025-06-19T02:06:52Z
dc.date.available2025-06-19T02:06:52Z
dc.date.issued2025
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/206966
dc.description.abstractEn<div><p>Since the late 2010s, artificial intelligence (AI), encompassing machine learning and propelled by deep learning, has transformed life science resear c h. It has become a crucial tool for ad v ancing the computational anal ysis of biological pr ocesses, the discov er y of natural products, and the study of ecosystem dynamics. This re vie w explores how the rapid increase in high-throughput omics data acquisition has dri v en the need for AI-based analysis in life sciences, with a particular focus on plant sciences, animal sciences, and microbiology. We highlight the role of omics-based predictive analytics in systems biology and innov ati v e AI-based anal ytical approaches for gaining deeper insights into comple x biolo gical systems. F inally, w e discuss the importance of FAIR (finda b le, accessib le, inter opera b le, r eusa b le) principles for omics data, as well as the future challenges and opportunities presented by the increasing use of AI in life sciences.</p></div>
dc.description.sponsorshipDéveloppement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation - ANR-11-INBS-0010
dc.description.sponsorshipNext generation metabolomics and fluxomics, from population to single cells
dc.description.sponsorshipMetaboHUB National Infrastructure of metabolomics and fluxomics
dc.description.sponsorshipCentre français de phénomique végétale - ANR-11-INBS-0012
dc.language.isoen
dc.publisherOxford Univ Press
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enartificial intelligence
dc.subject.enmachine learning
dc.subject.endeep learning
dc.subject.enomics
dc.subject.enlife science
dc.subject.enbiology
dc.title.enArtificial intelligence: the human response to approach the complexity of big data in biology
dc.typeArticle de revue
dc.identifier.doi10.1093/gigascience/giaf057
dc.subject.halInformatique [cs]/Intelligence artificielle [cs.AI]
bordeaux.journalGigaScience
bordeaux.pagegiaf057
bordeaux.volume14
bordeaux.hal.laboratoriesBiologie du Fruit & Pathologie (BFP) - UMR 1332*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-05118620
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-05118620v1
bordeaux.COinSctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.jtitle=GigaScience&amp;rft.date=2025&amp;rft.volume=14&amp;rft.spage=giaf057&amp;rft.epage=giaf057&amp;rft.au=MELANDRI,%20Giovanni&amp;R-RADOHERY,%20Georges&amp;BEAUMONT,%20Chlo%C3%A9&amp;DE%20CRIPAN,%20Sara&amp;MULLER,%20Coralie&amp;rft.genre=article


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