David Ellinghaus

According to our database, David Ellinghaus authored at least 11 papers between 2008 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

<tt>MAGScoT</tt>: a fast, lightweight and accurate bin-refinement tool.

Malte Rühlemann, Eike Matthias Wacker, David Ellinghaus, Andre Franke

Bioinform., December, 2022

<i>EagleImp</i>: fast and accurate genome-wide phasing and imputation in a single tool.

Lars Wienbrandt, David Ellinghaus

Bioinform., November, 2022

2020

Reference-Based Haplotype Phasing with FPGAs.

Lars Wienbrandt, Jan Christian Kässens, David Ellinghaus

Proceedings of the Computational Science - ICCS 2020, 2020

2019

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

2018

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

Proceedings of the Computational Science - ICCS 2018, 2018

2017

LitDB - Keeping Track of Research Papers From Your Institute Made Simple.

Jörn Bethune, Lars Kraemer, Ingo Thomsen, Andreas Keller, David Ellinghaus, Andre Franke

Source Code Biol. Medicine, 2017

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

Proceedings of the International Conference on Computational Science, 2017

2016

Haplotype synthesis analysis reveals functional variants underlying known genome-wide associated susceptibility loci.

André Lacour, David Ellinghaus, Stefan Schreiber, Andre Franke, Tim Becker

Bioinform., 2016

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

2014

FPGA-based Acceleration of Detecting Statistical Epistasis in GWAS.

Lars Wienbrandt, Jan Christian Kässens, Jorge González-Domínguez, Bertil Schmidt, David Ellinghaus, Manfred Schimmler

Proceedings of the International Conference on Computational Science, 2014

2008

<i>LTRharvest</i>, an efficient and flexible software for <i>de novo </i>detection of LTR retrotransposons.

David Ellinghaus, Stefan Kurtz, Ute Willhoeft

BMC Bioinform., 2008