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Bioinformatics Advances
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August 21, 2024
Introducing field-programmable gate arrays in genotype phasing and imputation
Lars Wienbrandt, David Ellinghaus
Bioinformatics (Oxford, England)
|
September 21, 2022
EagleImp: fast and accurate genome-wide phasing and imputation in a single tool
Lars Wienbrandt, David Ellinghaus
Bioinformatics Advances
|
June 29, 2026
GWAIS-Web: a free and secure web service for ultra-fast and large-scale genome-wide association interaction studies
Lars Wienbrandt, Christoph Prieß, David Ellinghaus
Gigascience
|
June 29, 2021
BIGwas: Single-command quality control and association testing for multi-cohort and biobank-scale GWAS/PheWAS data
Jan Christian Kässens, Lars Wienbrandt, David Ellinghaus
Methods in Molecular Biology (Clifton, N.J.)
|
March 18, 2021
SNPInt-GPU: Tool for Epistasis Testing with Multiple Methods and GPU Acceleration
Lars Wienbrandt, Jan Christian Kässens, David Ellinghaus
Computational and Structural Biotechnology Journal
|
August 28, 2019
Comparison of Markov Chain Monte Carlo Software for the Evolutionary Analysis of Y-Chromosomal Microsatellite Data
Sven Gundlach, Olaf Junge, Lars Wienbrandt, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
October 10, 2015
Parallelizing Epistasis Detection in GWAS on FPGA and GPU-Accelerated Computing Systems
Jorge González-Domínguez, Lars Wienbrandt, Jan Christian Kässens, et al.
Scientific Reports
|
July 14, 2015
Vy-PER: eliminating false positive detection of virus integration events in next generation sequencing data
Michael Forster, Silke Szymczak, David Ellinghaus, et al.
The Journal of Allergy and Clinical Immunology
|
November 11, 2019
Protein-coding variants contribute to the risk of atopic dermatitis and skin-specific gene expression
Sören Mucha, Hansjörg Baurecht, Natalija Novak, et al.
Nucleic Acids Research
|
August 22, 2024
Network medicine-based epistasis detection in complex diseases: ready for quantum computing
Markus Hoffmann, Julian M Poschenrieder, Massimiliano Incudini, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Bioinformatics Advances
|
August 21, 2024
Introducing field-programmable gate arrays in genotype phasing and imputation
Lars Wienbrandt, David Ellinghaus
Bioinformatics (Oxford, England)
|
September 21, 2022
EagleImp: fast and accurate genome-wide phasing and imputation in a single tool
Lars Wienbrandt, David Ellinghaus
Bioinformatics Advances
|
June 29, 2026
GWAIS-Web: a free and secure web service for ultra-fast and large-scale genome-wide association interaction studies
Lars Wienbrandt, Christoph Prieß, David Ellinghaus
Gigascience
|
June 29, 2021
BIGwas: Single-command quality control and association testing for multi-cohort and biobank-scale GWAS/PheWAS data
Jan Christian Kässens, Lars Wienbrandt, David Ellinghaus
Methods in Molecular Biology (Clifton, N.J.)
|
March 18, 2021
SNPInt-GPU: Tool for Epistasis Testing with Multiple Methods and GPU Acceleration
Lars Wienbrandt, Jan Christian Kässens, David Ellinghaus
Computational and Structural Biotechnology Journal
|
August 28, 2019
Comparison of Markov Chain Monte Carlo Software for the Evolutionary Analysis of Y-Chromosomal Microsatellite Data
Sven Gundlach, Olaf Junge, Lars Wienbrandt, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
October 10, 2015
Parallelizing Epistasis Detection in GWAS on FPGA and GPU-Accelerated Computing Systems
Jorge González-Domínguez, Lars Wienbrandt, Jan Christian Kässens, et al.
Scientific Reports
|
July 14, 2015
Vy-PER: eliminating false positive detection of virus integration events in next generation sequencing data
Michael Forster, Silke Szymczak, David Ellinghaus, et al.
The Journal of Allergy and Clinical Immunology
|
November 11, 2019
Protein-coding variants contribute to the risk of atopic dermatitis and skin-specific gene expression
Sören Mucha, Hansjörg Baurecht, Natalija Novak, et al.
Nucleic Acids Research
|
August 22, 2024
Network medicine-based epistasis detection in complex diseases: ready for quantum computing
Markus Hoffmann, Julian M Poschenrieder, Massimiliano Incudini, et al.
Page
of 2