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Knowledge exchange in processing and analysis of multi-omic data

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.

Field of science

  • /natural sciences/biological sciences/biochemistry/biomolecules/proteins

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
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 16 800
Administrative Contact
Stephanie Hazlehurst (Ms.)

Participants (3)

CONSIGLIO NAZIONALE DELLE RICERCHE
Italy
EU contribution
€ 23 100
Address
Piazzale Aldo Moro 7
00185 Roma
Activity type
Research Organisations
Administrative Contact
Michiel Bertsch (Prof.)
AARHUS UNIVERSITET
Denmark
EU contribution
€ 21 000
Address
Nordre Ringgade 1
8000 Aarhus C
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Helle Kaiser Rasmussen (Ms.)
UNIVERSITY OF LEEDS

Participation ended

United Kingdom
Address
Woodhouse Lane
LS2 9JT Leeds
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Martin Hamilton (Mr.)