- 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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- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- UUID:
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uuid:19ce0c8e-1d65-44ff-b56c-77ee849b2167
- Language:
- English
- Keywords:
- Subjects:
- Copyright holder:
- Kretzschmar, WW
- Copyright date:
- 2016
Thesis
Methods for phasing and imputation of very low coverage sequencing data
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