<p>Benchmarking and improving imputation approaches for recurrent inversions in the human genome</p>

Illya Yakymenko; Jon Lerga-Jaso; Mario Cáceres

doi:10.7490/f1000research.1119243.1

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Yakymenko I, Lerga-Jaso J and Cáceres M. Benchmarking and improving imputation approaches for recurrent inversions in the human genome [version 1; not peer reviewed]. F1000Research 2022, 11:1390 (poster) (https://doi.org/10.7490/f1000research.1119243.1)

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Benchmarking and improving imputation approaches for recurrent inversions in the human genome

Illya Yakymenko¹, Jon Lerga-Jaso, Mario Cáceres

Published 28 Nov 2022 (https://doi.org/10.7490/f1000research.1119243.1)

Author Affiliations

¹ Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Spain

Copyright © 2022 Yakymenko I et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 28 Nov 2022

Benchmarking and improving imputation approaches for recurrent inversions in the human genome
[version 1; not peer reviewed]

Illya Yakymenko¹, Jon Lerga-Jaso, Mario Cáceres

Author Affiliations

¹ Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Spain

Presented at

European Conference on Computational Biology (ECCB) 2022

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Human variation, Structural variants, Imputation

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