Objective High-throughput experiments produce large datasets providing information about cellular processes, by simultaneously observing different types of variables (e.g. genes, proteins, metabolites). Collectively, data from such experiments are referred to as omic data, to indicate their genome-wide coverage. Advances in biotechnology have resulted in the possibility to obtain a growing variety of omic datasets. However, most computational and algorithmic efforts have been directed at mining data from each of these molecular levels (genomic, transcriptomic, etc.) separately and combining the results in order to explore the biology of a system. An important output of such analyses is the identification of networks of interactions, between molecules. However, at the molecular level, the networks of interactions that can be observed from such datasets are interconnected and thus separate analysis of omic data can result in important information being lost. Our aim is to combine the skills from multiple labs in order to advance in the non-trivial task of multi-omic data integration. In particular, we aim to apply techniques developed in this project to gain a better understanding of rheumatoid arthritis. To achieve these aims we propose a collaboration between three institutes (from Denmark, Italy, UK and China), with complementary experience in collection and analysis of omic data. The collaboration will produce results that are attractive to all institutes and researchers dealing with high-throughput technology and will therefore promote the EU as an attractive research base. This exchange will also promote China as an attractive host for Marie Curie Outgoing Fellowships, potentially leading to a higher number of EU researchers undertaking longer research periods in China in the future. Therefore, this specific network is not only relevant in terms of the scientific impact and quality of the exchange but also in terms of its geographical width and breadth. Fields of science medical and health sciencesclinical medicinerheumatologynatural sciencesbiological sciencesbiochemistrybiomoleculesproteins Programme(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) FP7-PEOPLE-2011-IRSES - Marie Curie Action "International Research Staff Exchange Scheme" Call for proposal FP7-PEOPLE-2011-IRSES See other projects for this call Funding Scheme MC-IRSES - International research staff exchange scheme (IRSES) Coordinator ST GEORGE'S HOSPITAL MEDICAL SCHOOL Address Cranmer terrace SW17 0RE London United Kingdom See on map Region London Inner London — West Wandsworth Activity type Higher or Secondary Education Establishments Administrative Contact Stephanie Hazlehurst (Ms.) Links Contact the organisation Opens in new window Website Opens in new window EU contribution No data Participants (3) Sort alphabetically Sort by EU Contribution Expand all Collapse all CONSIGLIO NAZIONALE DELLE RICERCHE Italy EU contribution € 23 100,00 Address Piazzale aldo moro 7 00185 Roma See on map Region Centro (IT) Lazio Roma Activity type Research Organisations Administrative Contact Michiel Bertsch (Prof.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data AARHUS UNIVERSITET Denmark EU contribution € 21 000,00 Address Nordre ringgade 1 8000 Aarhus c See on map Region Danmark Midtjylland Østjylland Activity type Higher or Secondary Education Establishments Administrative Contact Helle Kaiser Rasmussen (Ms.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data UNIVERSITY OF LEEDS Participation ended United Kingdom EU contribution € 0,00 Address Woodhouse lane LS2 9JT Leeds See on map Region Yorkshire and the Humber West Yorkshire Leeds Activity type Higher or Secondary Education Establishments Administrative Contact Martin Hamilton (Mr.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data
