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Thesis

Imputation and simulation of large genetic datasets

Abstract:

During the past two decades, human genomics has increasingly become a data-driven field, resting on the availability of large-scale datasets and computational tools for their analysis. This thesis built infrastructure and data resources to facilitate the analysis of large human genomic datasets, focusing on genotype phasing and imputation, as well as data simulation. Genotype phasing and imputation are crucial steps in genome-wide association studies (GWAS), which allow for the augmentatio...

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Supervisor
Role:
Supervisor


DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford


Language:
English
Pubs id:
1994150
Local pid:
pubs:1994150
Deposit date:
2024-05-01
ARK identifier:

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