Thesis
Methods for phasing and imputation of very low coverage sequencing data
- Abstract:
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The introduction of massively parallel short-read sequencing has facilitated rapidly dropping costs of DNA sequencing. This has led to substantial growth in the size of human sequencing projects, with consortia of low coverage sequencing data containing tens of thousands of samples. However, current statistical methods for genotype calling from this data scale poorly with sample size, and are infeasible to use on the largest of current projects. This thesis explores the problem of genotype...
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Funding
Bibliographic Details
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- UUID:
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uuid:19ce0c8e-1d65-44ff-b56c-77ee849b2167
Item Description
- Language:
- English
- Keywords:
- Subjects:
Related Items
Terms of use
- Copyright holder:
- Kretzschmar, WW
- Copyright date:
- 2016
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