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Multivariate statistical analysis of protein and nucleotide sequence data bases
Reference
BIF08755
Principal Investigator / Supervisor
Professor Marin Van Heel
Co-Investigators /
Co-Supervisors
Institution
Imperial College London
Department
Biological Sciences
Funding type
Research
Value (£)
56,867
Status
Completed
Type
Research Grant
Start date
26/05/1998
End date
26/05/1999
Duration
12 months
Abstract
In 1991, I proposed a multivariate statistical methodology for automatically extracting intrinsic information from our exponentially growing sequence data banks (van Heel, JMB, 1991). It is a self-contained approach in which one first compresses all the information in the database - without performing alignments - and then exploits that compressed information for a large number of tasks including the structuring of the database by creating atlases of biological sequences, pinpointing annotation errors, automatically classifying and annotating new incoming sequences, etc. This methodology was shown to be a powerful associative tool in sequence analysis. We are now seeking support on the post-doctoral level to further validate and establish the methodology and to integrate it into a user-friendly computing environment.
Summary
unavailable
Committee
Not funded via Committee
Research Topics
X – not assigned to a current Research Topic
Research Priority
X – Research Priority information not available
Research Initiative
Bioinformatics (BIF) [1995-1997]
Funding Scheme
X – not Funded via a specific Funding Scheme
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