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A scalable approach for genome-wide inference of ancestral recombination graphs
View ORCID ProfileÁrni Freyr Gunnarsson, View ORCID ProfileJiazheng Zhu, View ORCID ProfileBrian C. Zhang, Zoi Tsangalidou, Alex Allmont, View ORCID ProfilePier Francesco Palamara
doi: https://doi.org/10.1101/2024.08.31.610248
Árni Freyr Gunnarsson
1Centre for Human Genetics, University of Oxford, UK
2Department of Statistics, University of Oxford, UK
3deCODE genetics/Amgen, Reykjavík, Iceland
Jiazheng Zhu
2Department of Statistics, University of Oxford, UK
Brian C. Zhang
2Department of Statistics, University of Oxford, UK
Zoi Tsangalidou
2Department of Statistics, University of Oxford, UK
Alex Allmont
4Doctoral Training Centre, University of Oxford, Oxford, UK
Pier Francesco Palamara
1Centre for Human Genetics, University of Oxford, UK
2Department of Statistics, University of Oxford, UK
Posted September 02, 2024.
A scalable approach for genome-wide inference of ancestral recombination graphs
Árni Freyr Gunnarsson, Jiazheng Zhu, Brian C. Zhang, Zoi Tsangalidou, Alex Allmont, Pier Francesco Palamara
bioRxiv 2024.08.31.610248; doi: https://doi.org/10.1101/2024.08.31.610248
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