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Thesis

Methods for phasing and imputation of very low coverage sequencing data

Abstract:

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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Division:
MSD
Department:
Doctoral Training Centre - MSD
Role:
Author

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Supervisor
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Grant:
WT097307
Funding agency for:
Kretzschmar, WW
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
UUID:
uuid:19ce0c8e-1d65-44ff-b56c-77ee849b2167

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