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permGWAS2: Enhanced and Accelerated Permutation-based Genome-Wide Association Studies
Maura John, Arthur Korte, Dominik G. Grimm
doi: https://doi.org/10.1101/2023.11.28.569016
Maura John
1Technical University of Munich, Campus Straubing for Biotechnology and Sustainability, Bioinformatics, 94315 Straubing, Germany
2Weihenstephan-Triesdorf University of Applied Sciences, Bioinformatics, 94315 Straubing, Germany
Arthur Korte
3Center for Computational and Theoretical Biology, University of Würzburg, 97078 Würzburg, Germany
4Julius-von-Sachs-Institute, Plant Ecophysiology, University of Würzburg, 97082 Würzburg, Germany
Dominik G. Grimm
1Technical University of Munich, Campus Straubing for Biotechnology and Sustainability, Bioinformatics, 94315 Straubing, Germany
2Weihenstephan-Triesdorf University of Applied Sciences, Bioinformatics, 94315 Straubing, Germany
5Technical University of Munich, TUM School of Computation, Information and Technology, 85748, Garching, Germany

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Posted November 29, 2023.
permGWAS2: Enhanced and Accelerated Permutation-based Genome-Wide Association Studies
Maura John, Arthur Korte, Dominik G. Grimm
bioRxiv 2023.11.28.569016; doi: https://doi.org/10.1101/2023.11.28.569016
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