Publikationen

2016

  • Jan Christian Kässens, Lars Wienbrandt, Jorge González-Domínguez, Bertil Schmidt, Manfred Schimmler, Combining GPU and FPGA Technology for Efficient Exhaustive Interaction Analysis in GWAS, Proceedings of the 2016 IEEE 27th International Conference on Application Specific Systems, Architectures and Processors, 2016, pp. 170-175
  • Sven Gundlach, Jan Christian Kässens and Lars Wienbrandt, Genome-Wide Association Interaction Studies with MB-MDR and maxT multiple testing correction on FPGAs, Procedia Computer Science, 2016, vol. 80, pp. 639-649

2015

  • Jorge González-Domínguez, Jan Christian Kässens, Lars Wienbrandt, and Bertil Schmidt, Large-Scale Genome-Wide Association Studies on a GPU Cluster Using a CUDA-Accelerated PGAS Programming Model, International Journal of High-Performance Computing Applications, vol. 29 no. 4, pp. 506-510
  • Jan Christian Kässens, Lars Wienbrandt, Jorge González-Domínguez, Bertil Schmidt, Manfred Schimmler, High-Speed Exhaustive 3-locus Interaction Epistasis Analysis on FPGAs, Journal of Computational Science, vol. 9, pp. 131-136
  • Michael Wittig, Jarl Anmarkrud, Jan Kässens, Simon Koch, Michael Forster, Eva Ellinghaus, Johannes Hov Roksund, Sascha Sauer, Manfred Schimmler, Malte Ziemann, Siegfried Görg, Frank Jacob, Tom Karlsen, Andre Franke, Development of a high resolution NGS-based HLA-typing and analysis pipeline, Nucleic Acids Research, 43(11):e70, 2015
  • Jorge González-Domínguez, Lars Wienbrandt, Jan Christian Kässens, David Ellinghaus, Manfred Schimmler, and Bertil Schmidt, Parallelizing Epistasis Detection in GWAS on FPGA and GPU-accelerated Computing Systems, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12 (5), 2015, pp. 982-994

 

2014

  • Jan Christian Kässens, Jorge González-Domínguez, Lars Wienbrandt, and Bertil Schmidt, UPC++ for Bioinformatics: A Case Study Using Gnome-Wide Association Studies, 15th IEEE International Conference on Cluster Computing, Sep 2014.
  • Jorge González-Domínguez, Bertil Schmidt, Jan Christian Kässens, and Lars Wienbrandt, Hybrid CPU/GPU Acceleration of Detection of 2-SNP Epistatic Interactions in GWAS, 20th International European Conference on Parallel and Distributed Computing (Euro-Par 2014), ed. by Lecture Notes on Computer Science, vol. 8632, pp. 680-691
  • Lars Wienbrandt, Jan Christian Kässens, Jorge González-Domínguez, Bertil Schmidt, David Ellinghaus, and Manfred Schimmler, FPGA-based acceleration of detecting statistical epistasis in GWAS, Procedia Computer Science, vol. 29 (2014), pp. 220-230.