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Mitchell Gill

Showing results (1-10 of 7) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|May 31, 2022
Producing High-Quality Single Nucleotide Polymorphism Data for Genome-Wide Association StudiesPhilipp E Bayer, Mitchell Gill, Monica F Danilevicz, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|April 14, 2021
Crop breeding for a changing climate: integrating phenomics and genomics with bioinformaticsJacob I Marsh, Haifei Hu, Mitchell Gill, et al.
Frontiers in Genetics|June 6, 2022
Plant Genotype to Phenotype Prediction Using Machine LearningMonica F Danilevicz, Mitchell Gill, Robyn Anderson, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 11, 2022
An SGSGeneloss-Based Method for Constructing a Gene Presence-Absence Table Using MosdepthCassandria G Tay Fernandez, Jacob I Marsh, Benjamin J Nestor, et al.
BMC Plant Biology|April 9, 2022
Machine learning models outperform deep learning models, provide interpretation and facilitate feature selection for soybean trait predictionMitchell Gill, Robyn Anderson, Haifei Hu, et al.
Computational and Structural Biotechnology Journal|December 7, 2023
DNABERT-based explainable lncRNA identification in plant genome assembliesMonica F Danilevicz, Mitchell Gill, Cassandria G Tay Fernandez, et al.
International Journal of Molecular Sciences|March 10, 2022
Pangenomes as a Resource to Accelerate Breeding of Under-Utilised Crop SpeciesCassandria Geraldine Tay Fernandez, Benjamin John Nestor, Monica Furaste Danilevicz, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Methods in Molecular Biology (Clifton, N.J.)|May 31, 2022
Producing High-Quality Single Nucleotide Polymorphism Data for Genome-Wide Association StudiesPhilipp E Bayer, Mitchell Gill, Monica F Danilevicz, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|April 14, 2021
Crop breeding for a changing climate: integrating phenomics and genomics with bioinformaticsJacob I Marsh, Haifei Hu, Mitchell Gill, et al.
Frontiers in Genetics|June 6, 2022
Plant Genotype to Phenotype Prediction Using Machine LearningMonica F Danilevicz, Mitchell Gill, Robyn Anderson, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 11, 2022
An SGSGeneloss-Based Method for Constructing a Gene Presence-Absence Table Using MosdepthCassandria G Tay Fernandez, Jacob I Marsh, Benjamin J Nestor, et al.
BMC Plant Biology|April 9, 2022
Machine learning models outperform deep learning models, provide interpretation and facilitate feature selection for soybean trait predictionMitchell Gill, Robyn Anderson, Haifei Hu, et al.
Computational and Structural Biotechnology Journal|December 7, 2023
DNABERT-based explainable lncRNA identification in plant genome assembliesMonica F Danilevicz, Mitchell Gill, Cassandria G Tay Fernandez, et al.
International Journal of Molecular Sciences|March 10, 2022
Pangenomes as a Resource to Accelerate Breeding of Under-Utilised Crop SpeciesCassandria Geraldine Tay Fernandez, Benjamin John Nestor, Monica Furaste Danilevicz, et al.
Pageof 1