This project aims to set up a bioinformatic environment for the analysis of genetic and genomic data obtained both from cultivated plant species (such as Maize and Wheat) and model species (in particular Rice). It will concentrate on tools allowing to locate and identify genes of agronomical interest, either by direct studies on the species or through a comparison with a model genome which is better known. The strategy for identifying these genes will use lost of different approaches such as : - Integration of genetic maps and anchoring of BACs on these maps. - Integration, enhancement or adaptation of programs for the structural and functional annotation of all species. - Integration of public data as well as those produced within Genoplante I et II (genetic and physical maps, transcriptomics, proteomics, QTL, SNP, mutants, epistatic interactions between genes and QTL, metabolomics, networks). - Development of generic databases and tools for functional analysis. - Visualisation navigation through the data as an aid to the scientific research. The aims of the M2 project represent an equilibrium between the direct study of data on Maize, Wheat and Rice and the study of these data with the help of genome models (Arabidopsis and Rice).