METAPLANTCODE : harmonizing plant metabarcoding pipelines in Europe Gardette, A. /Sklab, Youcef /Belda, Eugeni /Chenin, Eric /Zucker, Jean-Daniel 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. 2024 text https://www.documentation.ird.fr/hor/fdi:010095715 fdi:010095715 Gardette A., Sklab Youcef, Belda Eugeni, Chenin Eric, Zucker Jean-Daniel. METAPLANTCODE : harmonizing plant metabarcoding pipelines in Europe. 2024, 8, e135729 [5 ] EN