J. Kässens

发表

FPGA-based Acceleration of Detecting Statistical Epistasis in GWAS

Bertil Schmidt, Lars Wienbrandt, Manfred Schimmler, 2014, ICCS.

Development of a high-resolution NGS-based HLA-typing and analysis pipeline

T. Karlsen, A. Franke, S. Sauer, 2015, Nucleic acids research.

Genomewide Association Study of Severe Covid-19 with Respiratory Failure

J. Erdmann, M. Buti, T. Karlsen, 2020, The New England journal of medicine.

EasyChair Preprint No 60 1 , 000 x Faster than PLINK : Genome-Wide Epistasis Detection with Logistic Regression Using Combined FPGA and GPU Accelerators

D. Ellinghaus, L. Wienbrandt, J. Kässens, 2022 .

The ABO blood group locus and a chromosome 3 gene cluster associate with SARS-CoV-2 respiratory failure in an Italian-Spanish genome-wide association analysis

M. Buti, T. Karlsen, G. Grasselli, 2020, medRxiv.

Detailed stratified GWAS analysis for severe COVID-19 in four European populations

Francisco J. Medrano, S. Brunak, V. Moreno, 2022, Human molecular genetics.

Protein-coding variants contribute to the risk of atopic dermatitis and skin-specific gene expression.

C. Gieger, M. Waldenberger, A. Peters, 2019, The Journal of allergy and clinical immunology.

Mapping the human genetic architecture of COVID-19

Mattia G. Bergomi, Christopher M. DeBoever, Matthew A. Wiles, 2021, Nature.

Genome-wide study of a Neolithic Wartberg grave community reveals distinct HLA variation and hunter-gatherer ancestry

O. Kohlbacher, J. Krause, A. Franke, 2021, Communications biology.

Neolithic genomes reveal a distinct ancient HLA allele pool and population transformation in Europe

I. Mathieson, O. Kohlbacher, J. Krause, 2019, bioRxiv.

Genome-wide association study in 8,956 German individuals identifies influence of ABO histo-blood groups on gut microbiome

A. Peters, H. Völzke, W. Lieb, 2020, Nature Genetics.

BIGwas: Single-command quality control and association testing for multi-cohort and biobank-scale GWAS/PheWAS data

Lars Wienbrandt, Jan Christian Kässens, David Ellinghaus, 2021, GigaScience.

Genome-wide study of a Neolithic Wartberg grave community reveals distinct HLA variation and hunter-gatherer ancestry

O. Kohlbacher, J. Krause, D. Ellinghaus, 2021, Communications Biology.

Parallelizing Epistasis Detection in GWAS on FPGA and GPU-Accelerated Computing Systems

Bertil Schmidt, Lars Wienbrandt, Manfred Schimmler, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

UPC++ for bioinformatics: A case study using genome-wide association studies

Bertil Schmidt, Lars Wienbrandt, Jorge González-Domínguez, 2014, 2014 IEEE International Conference on Cluster Computing (CLUSTER).

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

Bertil Schmidt, Lars Wienbrandt, Jorge González-Domínguez, 2014, Euro-Par.

Genome-Wide Association Interaction Studies with MB-MDR and maxT multiple testing correction on FPGAs

Lars Wienbrandt, Jan Christian Kässens, Sven Gundlach, 2016, ICCS.

The gene expression classifier ALLCatchR identifies B-precursor ALL subtypes and underlying developmental trajectories across age

C. Kaleta, M. Schrappe, J. Kässens, 2023, bioRxiv.

UBTF::ATXN7L3 gene fusion defines novel B cell precursor ALL subtype with CDX2 expression and need for intensified treatment

M. Spielmann, K. Döhner, H. Busch, 2022, Leukemia.

High-speed exhaustive 3-locus interaction epistasis analysis on FPGAs

Bertil Schmidt, Lars Wienbrandt, Manfred Schimmler, 2015, J. Comput. Sci..

EagleImp-Web: A Fast and Secure Genotype Phasing and Imputation Web Service using Field-Programmable Gate Arrays

A. Franke, D. Ellinghaus, L. Wienbrandt, 2022, bioRxiv.

1000× faster than PLINK: Combined FPGA and GPU accelerators for logistic regression-based detection of epistasis

Lars Wienbrandt, Jan Christian Kässens, Matthias Hübenthal, 2019, J. Comput. Sci..

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, 2018, ICCS.

A Hybrid-parallel Architecture for Applications in Bioinformatics

Jan Christian Kässens, J. Kässens, 2017 .

Combining GPU and FPGA technology for efficient exhaustive interaction analysis in GWAS

Lars Wienbrandt, Manfred Schimmler, Jorge González-Domínguez, 2016, 2016 IEEE 27th International Conference on Application-specific Systems, Architectures and Processors (ASAP).

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, 2017, ICCS.

Mapping the human genetic architecture of COVID-19

Mattia G. Bergomi, Christopher M. DeBoever, Matthew A. Wiles, 2021, Nature.

New susceptibility loci for severe COVID-19 by detailed GWAS analysis in European populations

M. Nöthen, S. Brunak, V. Moreno, 2021, medRxiv.

The Gene Expression Classifier ALLCatchR Identifies B-cell Precursor ALL Subtypes and Underlying Developmental Trajectories Across Age

C. Kaleta, M. Schrappe, J. Kässens, 2023, HemaSphere.

A second update on mapping the human genetic architecture of COVID-19

M. A. Hakim Newton, Jack D. Sanders, Jonathan H. Morgan, 2022, Nature.

Protein-coding variants contribute to the risk of atopic dermatitis and skin- 1 specific gene expression 2

M. Waldenberger, K. Strauch, T. Ahluwalia, 2019 .

Detailed stratified GWAS analysis for severe COVID-19 in four European populations

M. Buti, J. Barretina, P. Rosenstiel, 2022, Human Molecular Genetics.