MELANDRI, Giovanni; R-RADOHERY, Georges; BEAUMONT, Chloé; DE CRIPAN, Sara; MULLER, Coralie; PIRAS, Luca; PEREIRA, Maria; SALVADOR, Andreia; DOMINGO-ALMENARA, Xavier; BOLGER, Marie; COLOMBIÉ, Sophie; PRIGENT, Sylvain; ARECHEDERRA, Biotza; CANELA, Nuria; PÉTRIACQ, Pierre

doi:10.1093/gigascience/giaf057

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Licencia de uso del documento

MELANDRI, Giovanni
University of Arizona
Biologie du fruit et pathologie [BFP]

R-RADOHERY, Georges
Biologie du fruit et pathologie [BFP]

BEAUMONT, Chloé
Biologie du fruit et pathologie [BFP]

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Article de revue

Este ítem está publicado en

GigaScience. 2025, vol. 14, p. giaf057

Oxford Univ Press

Resumen en inglés

<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>< Leer menos

Palabras clave en inglés

artificial intelligence

machine learning

deep learning

omics

life science

biology

URI

https://oskar-bordeaux.fr/handle/20.500.12278/206966

DOI

http://dx.doi.org/10.1093/gigascience/giaf057

Proyecto ANR

Développement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation - ANR-11-INBS-0010
Next generation metabolomics and fluxomics, from population to single cells
MetaboHUB National Infrastructure of metabolomics and fluxomics
Centre français de phénomique végétale - ANR-11-INBS-0012

Orígen

Importado de Hal

Centros de investigación

Biologie du Fruit & Pathologie (BFP) - UMR 1332