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Hybrid CPU/GPU Acceleration of Detection of 2-SNP Epistatic Interactions in GWAS.

, , , and . Euro-Par, volume 8632 of Lecture Notes in Computer Science, page 680-691. Springer, (2014)

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Hybrid CPU/GPU Acceleration of Detection of 2-SNP Epistatic Interactions in GWAS., , , and . Euro-Par, volume 8632 of Lecture Notes in Computer Science, page 680-691. Springer, (2014)Genome-Wide Association Interaction Studies with MB-MDR and maxT multiple testing correction on FPGAs., , and . ICCS, volume 80 of Procedia Computer Science, page 639-649. Elsevier, (2016)1, 000x Faster Than PLINK: Genome-Wide Epistasis Detection with Logistic Regression Using Combined FPGA and GPU Accelerators., , , and . ICCS (2), volume 10861 of Lecture Notes in Computer Science, page 368-381. Springer, (2018)1000× faster than PLINK: Combined FPGA and GPU accelerators for logistic regression-based detection of epistasis., , , and . J. Comput. Sci., (2019)Fast Genome-Wide Third-order SNP Interaction Tests with Information Gain on a Low-cost Heterogeneous Parallel FPGA-GPU Computing Architecture., , , and . ICCS, volume 108 of Procedia Computer Science, page 596-605. Elsevier, (2017)Reference-Based Haplotype Phasing with FPGAs., , and . ICCS (3), volume 12139 of Lecture Notes in Computer Science, page 481-495. Springer, (2020)Large-scale genome-wide association studies on a GPU cluster using a CUDA-accelerated PGAS programming model., , , and . Int. J. High Perform. Comput. Appl., 29 (4): 506-510 (2015)A Hybrid-parallel Architecture for Applications in Bioinformatics.. University of Kiel, Germany, (2017)UPC++ for bioinformatics: A case study using genome-wide association studies., , , and . CLUSTER, page 248-256. IEEE Computer Society, (2014)