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Innovative training in methods for future data

Project description

Solving the mysteries of ageing

Ageing is a significant risk factor for numerous diseases. As such, a deeper understanding of its biological mechanisms is necessary. The EU-funded IMforFUTURE project will conduct a multidisciplinary and intersectoral research training programme to overcome the current limitations in omics research and gain deeper insights into ageing and related diseases. Specifically, it will integrate genetics, glycomics, and epigenomics datasets into systems biology. By developing novel methods for high-throughput omics and data analysis, IMforFUTURE seeks to unravel the intricate biological processes underlying ageing and diseases. Bringing together seven academic and four industrial partners, this project will equip early stage researchers with the essential skills to bridge diverse disciplines and revolutionise the field of omics research.

Objective

IMforFUTURE is an innovative multidisciplinary and intersectoral research training programme which addresses current shortcomings in omics research. We aim to open the new research horizon in integration of genetics, glycomics, and epigenomics datasets into systems biology by developing innovative methods for high throughput omics and for integrative analysis of omics data. We focus on ageing, which is the biggest single risk factor for many diseases. By application of our novel methods to emerging datasets representing inflammation and immunology, IMforFUTURE will contribute to understanding of the underlying biological processes involved in diseases and ageing.
To be successful in future multidisciplinary environments in Academia or Industry, ESRs need to be able to act as bridge between several diverse disciplines. Our ESRs need to overview all steps from data production via data analysis to data interpretation. In our consortium 7 academic and 4 industrial partners - experimental and theoretical - participate in research and training via teaching, offering secondments and hosting ESRs. We offer courses in high throughput methodology, genomics and statistics. Secondments will be to partners with complementary disciplines and intersectoral. Emphasis will be data management, data stewardship, entrepreneurship, and complementary skills. Interdisciplinary collaborations among ESRs will be stimulated by working on the same studies, in which new data will be generated, integrated with other datasets, analyzed with novel methods and interpreted. At the end of the project the ESRs will present and discuss their research in an integrated workshop. Our ESRs will be ready and equipped for new-generation multidisciplinary researchers. They will significantly contribute to omics research in relationship to human disease and health and knowledge translation. A conference to disseminate our work to researchers in Academia and Industry, and to stakeholders will be organized.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

MSCA-ITN-ETN - European Training Networks

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Call for proposal

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(opens in new window) H2020-MSCA-ITN-2016

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Coordinator

UNIVERSITY OF LEEDS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 546 575,76
Address
WOODHOUSE LANE
LS2 9JT Leeds
United Kingdom

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Region
Yorkshire and the Humber West Yorkshire Leeds
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 546 575,76

Participants (8)

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