Bioinformatic analyses of genomic, transcriptomic and metabolomic data from wild and cultivated plant species (Published on the Albo Ufficiale with n. 11625)

Development of bioinformatics pipelines and machine-learning models for the integrated analysis of genomic, transcriptomic, agronomic, metabolomic and nutraceutical data from wild leafy plant species, aimed at identifying markers and genes associated with quality, secondary metabolites and adaptation to cultivation conditions