Computational Prediction of the Effects of Non-Synonymous SNPs on Protein Function (360G-Wellcome-097463_Z_11_Z)
This bioinformatics research project will focus on the development of methods to predict the effects of non-synonymous single nucleotide polymorphisms on protein function. The project will evaluate current methods, develop a "meta-predictor" that combines the best methods and develop a new approach that includes data from recently published techniques in protein structure prediction and sequence analysis. The new predictor will be integrated with the Jalview multiple alignment workbench and be applied to novel whole exome and genome datasets produced by colleagues in Dundee.
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Grant Details
| Amount Awarded | 146952 |
| Applicant Surname | Giang |
| Approval Committee | Molecules, Genes and Cells Funding Committee |
| Award Date | 2011-08-31T00:00:00+00:00 |
| Financial Year | 2010/11 |
| Grant Programme: Title | PhD Studentship (Basic) |
| Internal ID | 097463/Z/11/Z |
| Lead Applicant | Ms Nancy Giang |
| Partnership Value | 146952 |
| Planned Dates: End Date | 2015-08-31T00:00:00+00:00 |
| Planned Dates: Start Date | 2011-09-01T00:00:00+00:00 |
| Recipient Org: Country | United Kingdom |
| Region | Scotland |
| Sponsor(s) | Prof Paul Crocker |