Integration of Biomolecular Interaction Data in a Genomic and Proteomic Data Warehouse to Support Biomedical Knowledge Discovery

摘要

The growing available genomic and proteomic information gives new opportunities for novel research approaches and biomedical discoveries through effective data management and analysis support. Integration and comprehensive evaluation of available controlled data can highlight information patterns leading to unveil new biomedical knowledge. For this purpose, the University Politecnico di Milano, is developing a software framework to create and maintain a Genomic and Proteomic Data Warehouse (GPDW) that integrates information from many data sources on the basis of a conceptual data model that relates molecular entities and biomedical features. Here we illustrate and discuss the extension of framework for integrating biomolecular interaction data in the GPDW. The comprehensive and mining of the reliable interaction data together with the other biomolecular information in the GPDW constitutes a powerful computational support for novel biomedical knowledge discoveries.