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European modelling initiative combating complex diseases

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Primary targets of the Sixth Framework programme are activities for the development of advanced genomics and bioinformatics tools, their applications for health and for the combat of multigenic complex diseases. The understanding of biological processes relevant for these diseases and the modelling of these processes in silico is an essential step in the development of new drugs, medical diagnostics and therapies. Analytically, the modelling of disease processes is an integrative and multi disciplinary approach that has to cope with data from diverse functional genomics platforms such as gene expression and protein expression data, functional sequence data, physiological data, environmental factors and many others. The aim of the proposed project is to provide an adequate modelling and data integration platform that is able to manage the complexity and heterogeneity of these underlying data sources, and to generate hypotheses and models for disease processes based on in silico predictions. Ultimately, this platform will enable medical researchers to predict quantitatively clinically relevant parameters. The strategy to achieve these objectives is a platform technology that consists of benchmarking analysis modules including exhaustive data retrieval from databases, experimental data quality control and data integration, network analysis and expansion, kinetic modelling and simulation engines. The proposed project is a consortium approach Involving both key research institutes and SMEs in order to obtain a balanced mixture of scientific and industrial stakeholders. The project will provide an internationally competitive platform for the analysis and modelling of complex disease processes that will meet the requirements of post genomic research. This will ultimately strengthen European competitiveness in the field of in silico modelling and simulation that will be one of the key technologies in future medical and pharmacogenetics research...

Aufforderung zur Vorschlagseinreichung

FP6-2002-LIFESCIHEALTH
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MAX PLANCK GESELLSCHAFT ZUR FOERDERUNG DER WISSENSCHAFTEN E.V.
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