| EPSRC Reference: |
GR/S72023/01 |
| Title: |
eScience Pilot Project in Integrative Biology |
| Principal Investigator: |
Gavaghan, Professor D |
| Other Investigators: |
| Waters, Professor S |
Jensen, Professor O |
Brodlie, Professor KW |
| Martin, Professor A |
Jeffreys, Professor P |
McKeever, Dr S |
| Kerr, Professor DD |
Coveney, Professor P |
Sansom, Professor M |
| Lewis, Professor C |
Byrne, Professor H |
Chapman, Professor SJ |
| King, Professor J |
Davies, Professor J |
Clayton, Professor RH |
| Kleese van Dam, Mrs K |
Kohl, Dr P |
Gaffney, Professor E |
| Simpson, Dr AC |
Sastry, Dr L |
Maini, Professor PK |
| Noble, Professor D |
Kwiatkowska, Professor MZ |
Giles, Professor M |
| Durham, Dr P |
Stevens, Professor M |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Computer Science |
| Organisation: |
University of Oxford |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 February 2004 |
Ends: |
31 January 2008 |
Value (£): |
2,437,814
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| EPSRC Research Topic Classifications: |
| eScience |
Theoretical biology |
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| EPSRC Industrial Sector Classifications: |
| Healthcare |
Information Technologies |
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| Related Grants: |
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| Panel History: |
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Summary on Grant Application Form |
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The goal of the proposed pilot project is to build a Grid-enabled development platform for integrative biological modelling. The project will build upon existing e-Science activities both within Oxford and throughout the UK to support life scientists in moving on to the next grand challenge: that of determining biological function from the wealth of biological data that is now available. The project will develop: grid-enabled generic and standardised modelling and simulation tools allowing assimilation and synthesis of data for use in model development and parameter estimation; a robust and fault-tolerant Grid infrastructure; and tools to allow seamless integration of HPC, cluster computing, distributed databases, computational steering, performance control, and visualisation of complex simulated data, in the biology domain. The platform will allow clinicians and biologists to perform in-silico testing and development of novel experimental approaches, concentrating in this development phase on two major disease areas: cardiovascular disease and cancer. In cancer, it will be possible to grow virtual tumours, through the crucial stages of early development. In wholeheart modelling the clinician will be able to explore in-silico the likely causes of commonly occurring heart conditions. For both disease areas, it will be possible to test the actions of new drugs, and design and optimise alternative treatment protocols such as multiple-drug therapies, supporting the drive towards patient-centred care regimes. The project will be undertaken by a consortium comprising experimental, clinical, modelling and computational groups at seven Universities: Oxford, Nottingham, Auckland, Birmingham, Leeds, UCL, and Sheffield. These are complemented by strong involvement from CCLRC and IBM.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.ox.ac.uk |