Details of Grant 

EPSRC Reference:	GR/R67750/01
Title:	Discovery Net: An e-Science Test Bed for high Throughput Informatics
Principal Investigator:	Guo, Professor Y
Other Investigators:	Cass, Professor T Durucan, Professor S Hassard, Dr J Spence, Professor R Darlington, Professor J Rueckert, Professor D
Researcher Co-Investigators:
Project Partners:	deltaDOT Ltd InforSense Ltd RVco Ltd
Department:	Computing
Organisation:	Imperial College London
Scheme:	Standard Research (Pre-FEC)
Starts:	01 October 2001	Ends:	31 March 2005	Value (£):	2,082,704
EPSRC Research Topic Classifications:	Biological & Medicinal Chem. Combinatorial Chemistry eScience
EPSRC Industrial Sector Classifications:	Environment Healthcare Creative Industries Energy Information Technologies
Related Grants:
Panel History:
Summary on Grant Application Form
The DNet project aims to design, develop and implement an advanced infastructure to support real-time processing, interpretation, integration, visualization and mining of massive amounts of time critical data generated by high throupghput devices.The project will maximize the benefit of ebsting EPSRC-funded infrastructure and will cover new technology devices and technology including biochips in biology, high throughput screening technology in biochemistry and combinatorial chemistry, high throughput sensors in energy and environmental science, remote sensing and geology. Application studies include analysis of Protein Folding Chips and SNP Chips using LFII technology, protein-based fluorescent micro array data, air sensing data, renewable energy data, and geohazard prediction data. The development program of DNET will focus on the design and implementation of four important components: grid infrastructure, data engineering, information structuring and knowledge discovery. Each component provides mechanisms to deal with the issues of high throughput informatics. Apart from delivering a practical distributed discovery platform, DNet will focus on the establishment of a set of standards for representing and communicating high throughput information for integrated research. Such standards will be promoted by establishing international collaborations in DNet research and integrating DNet with data grid activities and related distributed data analysis research programme in the USA. The proposal has a clear set of deliverabls and a coherent team and will use structured project management techniques to guarantee delivery of its outputs to end users on time.
Key Findings
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Potential use in non-academic contexts
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Impacts
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Sectors submitted by the Researcher
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Project URL:
Further Information:
Organisation Website:	http://www.imperial.ac.uk