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Hidden Markov models for phylogenetic analysis and protein secondary structure
Reference
BIF06796
Principal Investigator / Supervisor
Dr Nick Goldman
Co-Investigators /
Co-Supervisors
Institution
University of Cambridge
Department
Genetics
Funding type
Research
Value (£)
130,343
Status
Completed
Type
Research Grant
Start date
01/07/1997
End date
01/07/2000
Duration
36 months
Abstract
Phylogenetic analyses of molecular sequences are limited by the inaccuracy of current models of evolution, which assume all sequence positions evolve independently. Methods in other fields of sequence analysis which have overcome this limitation currently fail to account for dependencies amongst sequences caused by their common ancestry. I propose to use hidden Markov model techniques to develop mathematical models of sequence evolution that allow for phylogenetic relationship and positional dependence related to protein secondary structure. Assessment and application of resulting models will lead to better understanding of processes of molecular evolution and improved results in phylogenetic estimation and secondary structure prediction.
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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