Award details

Development of a novel method for trace interpretation for DNA sequencing

Reference	E11970
Principal Investigator / Supervisor	Professor Duncan Gillies
Co-Investigators / Co-Supervisors	Professor John Collinge
Institution	Imperial College London
Department	Computing
Funding type	Research
Value (£)	69,143
Status	Completed
Type	Research Grant
Start date	01/12/1999
End date	01/02/2001
Duration	14 months

Abstract

In automated fluorescent DNA sequencers, the signal peak variability limits the accuracy and the ability to detect heterozygous mutation. Manufacturers have sought to minimise these variations by modifying the dyes and polymerases, but despite this they remain an inherent property of the method. We are developing a method that takes into account the fact that peak variation is not random but highly sequence dependent. By modelling the process we can account for the variation and use the model to correct the output. This will increase accuracy, provide more reliable mutation detection and the detection of sequence differences in mixed DNA samples, with potential application to anti-natal diagnosis and forensic medicine.

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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