DIGIT-BIO metaprogramme

Thesis by Julien Kossi Kowou (2025 - , UMR GABI). This PhD project aims to develop statistical analysis methods to explore inter-species genetic diversity.

The SEED project expands the Metabolomic Semantic Data Lake (MSD), an electronic infrastructure that combines the Semantic Web with Big Data technologies to enable large-scale processing of the scientific literature on metabolomics. First developed to improve access to knowledge on the links between the metabolism and human health, this infrastructure has now been adapted to include plant metabolisms. SEED will refine its use of artificial intelligence, enabling publications to be annotated automatically through the use of ontologies. The project will also expand the range of sources included in the data lake and will draw on four case studies to validate and illustrate the new associations discovered between metabolites, biomarkers and plants.

Thesis by Adèle Coppel (2025 - 2028, LIPME). The objective of this PhD project is to investigate, through modelling approaches, the role of wind in the modulation of plant immune responses and to identify molecular actors involved in the variability of resistance associated with acclimation and sensitization.