Award details

Integrating the robot scientist with genome wide data mining to determine the function of genes

Reference	E20268
Principal Investigator / Supervisor	Professor Ross King
Co-Investigators / Co-Supervisors	Professor Douglas Kell, Professor Stephen Muggleton, Professor Stephen Oliver, Dr Kenneth Whelan
Institution	Aberystwyth University
Department	Computer Science
Funding type	Research
Value (£)	84,050
Status	Completed
Type	Research Grant
Start date	01/11/2003
End date	31/10/2004
Duration	12 months

Abstract

The Robot Scientist is a combination of lab robotics with scientific discovery software which can: form hypotheses, devise near optimal experiments to discriminate hypotheses, direct a robot to perform these experiments, automatically analyse the experimental results, revise its hypothesis set in the light of the experimental results, and then repeat the cycle. This system has been successful at automatically rediscovering the function of genes in the S. cerevisiae aromatic amino acid pathway. We plan to extend this result to the function of genes of currently unknown function. This will be made possible by integrating the Robot Scientist with accurate existing predictions of gene function made by data mining. The result will be probably the most advanced system for automating experimentation in any science.

Summary

unavailable

Committee	Closed Committee - Engineering & Biological Systems (EBS)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

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