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Genome-Wide Association Interaction Studies with MB-MDR and maxT multiple testing correction on FPGAs., , и . ICCS, том 80 из Procedia Computer Science, стр. 639-649. Elsevier, (2016)Hybrid CPU/GPU Acceleration of Detection of 2-SNP Epistatic Interactions in GWAS., , , и . Euro-Par, том 8632 из Lecture Notes in Computer Science, стр. 680-691. Springer, (2014)UPC++ for bioinformatics: A case study using genome-wide association studies., , , и . CLUSTER, стр. 248-256. IEEE Computer Society, (2014)The FPGA-Based High-Performance Computer RIVYERA for Applications in Bioinformatics.. CiE, том 8493 из Lecture Notes in Computer Science, стр. 383-392. Springer, (2014)1, 000x Faster Than PLINK: Genome-Wide Epistasis Detection with Logistic Regression Using Combined FPGA and GPU Accelerators., , , и . ICCS (2), том 10861 из Lecture Notes in Computer Science, стр. 368-381. Springer, (2018)Network Aggregation to Enhance Results Derived from Multiple Analytics., , , и . AIAI (1), том 583 из IFIP Advances in Information and Communication Technology, стр. 128-140. Springer, (2020)1000× faster than PLINK: Combined FPGA and GPU accelerators for logistic regression-based detection of epistasis., , , и . J. Comput. Sci., (2019)FPGAs in Bioinformatics - Implementation and Evaluation of Common Bioinformatics Algorithms in Reconfigurable Logic.. University of Kiel, (2016)Reference-Based Haplotype Phasing with FPGAs., , и . ICCS (3), том 12139 из Lecture Notes in Computer Science, стр. 481-495. Springer, (2020)EagleImp: fast and accurate genome-wide phasing and imputation in a single tool., и . Bioinform., 38 (22): 4999-5006 (ноября 2022)