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Tackling the problem of 16S rRNA chimeras through analysis of sequence regularity - a software solution
Reference
BBS/B/11494
Principal Investigator / Supervisor
Professor Andrew Weightman
Co-Investigators /
Co-Supervisors
Dr Kevin Ashelford
,
Professor Nadia Chuzhanova
,
Professor John Fry
,
Professor Antonia Jones
Institution
Cardiff University
Department
School of Biosciences
Funding type
Research
Value (£)
172,662
Status
Completed
Type
Research Grant
Start date
01/03/2004
End date
28/02/2007
Duration
36 months
Abstract
Systematic bacteriology relies on 16S rRNA data. Errors while collecting this date compromise public databases by giving a false impression of diversity and phylogeny. A frequent error is chimera formation resulting from the concatenation of phylogenetically distinct gene fragments during PCR. Current ways of detecting chimeras are unreliable. We will therefore develop a new algorithm using complexity analysis. Our method will exploit secondary structure information, complementing existing primary structure approaches. We will write a user-friendly, platform-independent software tool that will combine our algorithm with current methods to create a robust, comprehensive chimera solution of value to researchers and database managers alike.
Summary
unavailable
Committee
Closed Committee - Plant & Microbial Sciences (PMS)
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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