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Dominik G Grimm

Showing results (1-10 of 31) with videos related to

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Briefings in Bioinformatics|December 19, 2019
Current challenges and best-practice protocols for microbiome analysisRicha Bharti, Dominik G Grimm
Bioinformatics Advances|April 17, 2023
easyPheno: An easy-to-use and easy-to-extend Python framework for phenotype prediction using Bayesian optimizationFlorian Haselbeck, Maura John, Dominik G Grimm
Journal of Experimental Botany|July 2, 2024
The benefits of permutation-based genome-wide association studiesMaura John, Arthur Korte, Dominik G Grimm
Plant Methods|April 18, 2026
Deep learning-based identification of visually similar foliar diseases in field-grown barleySofia Martello, Nikita Genze, Dominik G Grimm
Computational and Structural Biotechnology Journal|June 10, 2022
Computational identification of protein complexes from network interactions: Present state, challenges, and the way forwardSara Omranian, Zoran Nikoloski, Dominik G Grimm
Health Care Management Science|November 28, 2023
Combining machine learning and optimization for the operational patient-bed assignment problemFabian Schäfer, Manuel Walther, Dominik G Grimm, et al.
NAR Genomics and Bioinformatics|October 3, 2022
Systematic analysis of the underlying genomic architecture for transcriptional-translational coupling in prokaryotesRicha Bharti, Daniel Siebert, Bastian Blombach, et al.
Bioinformatics Advances|December 16, 2024
Population-aware permutation-based significance thresholds for genome-wide association studiesMaura John, Arthur Korte, Marco Todesco, et al.
Bioinformatics (Oxford, England)|June 24, 2020
Network-guided search for genetic heterogeneity between gene pairsAnja C Gumpinger, Bastian Rieck, Dominik G Grimm, et al.
Methods in Molecular Biology (Clifton, N.J.)|November 14, 2018
Methods and Tools in Genome-wide Association StudiesAnja C Gumpinger, Damian Roqueiro, Dominik G Grimm, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Briefings in Bioinformatics|December 19, 2019
Current challenges and best-practice protocols for microbiome analysisRicha Bharti, Dominik G Grimm
Bioinformatics Advances|April 17, 2023
easyPheno: An easy-to-use and easy-to-extend Python framework for phenotype prediction using Bayesian optimizationFlorian Haselbeck, Maura John, Dominik G Grimm
Journal of Experimental Botany|July 2, 2024
The benefits of permutation-based genome-wide association studiesMaura John, Arthur Korte, Dominik G Grimm
Plant Methods|April 18, 2026
Deep learning-based identification of visually similar foliar diseases in field-grown barleySofia Martello, Nikita Genze, Dominik G Grimm
Computational and Structural Biotechnology Journal|June 10, 2022
Computational identification of protein complexes from network interactions: Present state, challenges, and the way forwardSara Omranian, Zoran Nikoloski, Dominik G Grimm
Health Care Management Science|November 28, 2023
Combining machine learning and optimization for the operational patient-bed assignment problemFabian Schäfer, Manuel Walther, Dominik G Grimm, et al.
NAR Genomics and Bioinformatics|October 3, 2022
Systematic analysis of the underlying genomic architecture for transcriptional-translational coupling in prokaryotesRicha Bharti, Daniel Siebert, Bastian Blombach, et al.
Bioinformatics Advances|December 16, 2024
Population-aware permutation-based significance thresholds for genome-wide association studiesMaura John, Arthur Korte, Marco Todesco, et al.
Bioinformatics (Oxford, England)|June 24, 2020
Network-guided search for genetic heterogeneity between gene pairsAnja C Gumpinger, Bastian Rieck, Dominik G Grimm, et al.
Methods in Molecular Biology (Clifton, N.J.)|November 14, 2018
Methods and Tools in Genome-wide Association StudiesAnja C Gumpinger, Damian Roqueiro, Dominik G Grimm, et al.
Pageof 4