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Speeding up eQTL scans in the BXD population using GPUs

Chelsea Trotter, Hyeonju Kim, Gregory Farage, Pjotr Prins, Robert W. Williams, View ORCID ProfileKarl W. Broman, View ORCID ProfileŚaunak Sen
doi: https://doi.org/10.1101/2020.06.22.153742
Chelsea Trotter
1Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN
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Hyeonju Kim
1Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN
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Gregory Farage
1Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN
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Pjotr Prins
2Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN
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Robert W. Williams
2Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN
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Karl W. Broman
3Department of Biostatistics, University of Wisconsin-Madison, Madison, WI
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Śaunak Sen
1Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN
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  • For correspondence: sen@uthsc.edu
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Posted June 22, 2020.
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Speeding up eQTL scans in the BXD population using GPUs
Chelsea Trotter, Hyeonju Kim, Gregory Farage, Pjotr Prins, Robert W. Williams, Karl W. Broman, Śaunak Sen
bioRxiv 2020.06.22.153742; doi: https://doi.org/10.1101/2020.06.22.153742
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Speeding up eQTL scans in the BXD population using GPUs
Chelsea Trotter, Hyeonju Kim, Gregory Farage, Pjotr Prins, Robert W. Williams, Karl W. Broman, Śaunak Sen
bioRxiv 2020.06.22.153742; doi: https://doi.org/10.1101/2020.06.22.153742

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