Mutualiser et partager, un défi pour la génomique fonctionnelle végétale. (Data integration challenges for plant functional genomics)

In this document, we present research topic developed in the context of heteroge-neous data integration in plant functional genomic. Plant functional genomic is a biologicalframework where several disciplines and techniques take part in the discover of genes function.It generates a large quantity of data which the scientists manage in various ways. However,many data sources, complementary or overlapping, are necessary to enrich information aboutgenes function. The problem comes from the distribution, the autonomy and the heterogeneityof these sources. That drags biologists seeking information, to integrate results manually.The objective of this thesis is to make easier the scientists searches and to reach in a transpa-rent way information resulting from several data sources. For that, we propose two approachesin order to evaluate the advantages and the disadvantages of them. Firstly we propose the inte-gration of sources through the adaptation of a mediation system : Select. Successor of DISCO,Le Select allows the integration of heterogeneous and distributed data sources through a rela-tionnal integration model. Secondly, we propose the creation of a user personalized environ-ment that integrate data sources through workflows of Web services. This system is based onBioMOBY system and its Central Registry. To conclude, we propose a methodology adapted tothe needs for similar integration projects.