UPC++ for bioinformatics: A case study using genome-wide association studies. - Jan Christian Kässens; Jorge González-Domínguez; Lars Wienbrandt; Bertil Schmidt (CLUSTER, 2014)

Hybrid CPU/GPU Acceleration of Detection of 2-SNP Epistatic Interactions in GWAS. - Jorge González-Domínguez; Bertil Schmidt; Jan Christian Kässens; Lars Wienbrandt (Euro-Par, 2014)

FPGA-based Acceleration of Detecting Statistical Epistasis in GWAS. - Lars Wienbrandt; Jan Christian Kässens; Jorge González-Domínguez; Bertil Schmidt; David Ellinghaus; Manfred Schimmler (ICCS, 2014)

Large-scale genome-wide association studies on a GPU cluster using a CUDA-accelerated PGAS programming model. - Jorge González-Domínguez; Jan Christian Kässens; Lars Wienbrandt; Bertil Schmidt (Int. J. High Perform. Comput. Appl., 2015)

High-speed exhaustive 3-locus interaction epistasis analysis on FPGAs. - Jan Christian Kässens; Lars Wienbrandt; Jorge González-Domínguez; Bertil Schmidt; Manfred Schimmler (J. Comput. Sci., 2015)

Parallelizing Epistasis Detection in GWAS on FPGA and GPU-Accelerated Computing Systems. - Jorge González-Domínguez; Lars Wienbrandt; Jan Christian Kässens; David Ellinghaus; Manfred Schimmler; Bertil Schmidt (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Combining GPU and FPGA technology for efficient exhaustive interaction analysis in GWAS. - Jan Christian Kässens; Lars Wienbrandt; Manfred Schimmler; Jorge González-Domínguez; Bertil Schmidt (ASAP, 2016)

Genome-Wide Association Interaction Studies with MB-MDR and maxT multiple testing correction on FPGAs. - Sven Gundlach; Jan Christian Kässens; Lars Wienbrandt (ICCS, 2016)

Fast Genome-Wide Third-order SNP Interaction Tests with Information Gain on a Low-cost Heterogeneous Parallel FPGA-GPU Computing Architecture. - Lars Wienbrandt; Jan Christian Kässens; Matthias Hübenthal; David Ellinghaus (ICCS, 2017)

A Hybrid-parallel Architecture for Applications in Bioinformatics. - Jan Christian Kässens (2017)

1, 000x Faster Than PLINK: Genome-Wide Epistasis Detection with Logistic Regression Using Combined FPGA and GPU Accelerators. - Lars Wienbrandt; Jan Christian Kässens; Matthias Hübenthal; David Ellinghaus (ICCS (2), 2018)

1000× faster than PLINK: Combined FPGA and GPU accelerators for logistic regression-based detection of epistasis. - Lars Wienbrandt; Jan Christian Kässens; Matthias Hübenthal; David Ellinghaus (J. Comput. Sci., 2019)

Reference-Based Haplotype Phasing with FPGAs. - Lars Wienbrandt; Jan Christian Kässens; David Ellinghaus (ICCS (3), 2020)