Gardette A. auteur aut IRD Sklab Youcef auteur aut IRD Belda Eugeni auteur aut IRD Chenin Eric auteur aut IRD Zucker Jean-Daniel auteur aut IRD text journalArticle eng text/pdf reformatted digital access The METAPLANTCODE project is dedicated to advancing and optimizing pan-European case studies on metabarcoding. The project's objectives include providing best practice recommendations, optimizing analysis pipelines for species identification, and creating user-friendly reference databases. To accomplish these objectives, METAPLANTCODE will identify and address gaps in current methodologies, publish best practice documents on FAIR (Findable, Accessible, Interoperable, Reusable) data publishing for plant metabarcode data to GBIF (Global Biodiversity Information Facility) and the INSDC (International Nucleotide Sequence Database Collaboration), and implement ELIXIR- compatible multimodal deep learning (DL) models in novel tools for standalone metabarcoding analyses using various data sources. specialized 122 076 021 8 e135729 [5 ] 2024 2535-0897 https://www.documentation.ird.fr/hor/fdi:010095715 10.3897/biss.8.135729 2535-0897 [F B010095715] https://www.documentation.ird.fr/hor/fdi:010095715 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2025-12/010095715.pdf IRD - Base Horizon / Pleins textes 2025-11-21 2026-06-12 fdi:010095715 fre