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Mitchell Gill

Explore the profile of Mitchell Gill including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 7
Citations 68
Followers 0
Related Specialties
Molecular Biology
Biochemistry
Biology
Top 10 Co-Authors
David Edwards
Jacqueline Batley
Philipp E Bayer
Jakob Petereit
Mohammed Bennamoun
Monica F Danilevicz
Jacob I Marsh
Cassandria G Tay Fernandez
Robyn Anderson
Haifei Hu
Published In
Methods Mol Biol
Theor Appl Genet
Int J Mol Sci
Front Genet
BMC Plant Biol
Affiliations
Soon will be listed here.
Recent Articles
1.
DNABERT-based explainable lncRNA identification in plant genome assemblies
Danilevicz M, Gill M, Fernandez C, Petereit J, Upadhyaya S, Batley J, et al.
Comput Struct Biotechnol J . 2023 Dec; 21:5676-5685. PMID: 38058296
Long non-coding ribonucleic acids (lncRNAs) have been shown to play an important role in plant gene regulation, involving both epigenetic and transcript regulation. LncRNAs are transcripts longer than 200 nucleotides...
2.
An SGSGeneloss-Based Method for Constructing a Gene Presence-Absence Table Using Mosdepth
Fernandez C, Marsh J, Nestor B, Gill M, Golicz A, Bayer P, et al.
Methods Mol Biol . 2022 Jul; 2512:73-80. PMID: 35818000
Presence-absence variants (PAV) are genomic regions present in some individuals of a species, but not others. PAVs have been shown to contribute to genomic diversity, especially in bacteria and plants....
3.
Plant Genotype to Phenotype Prediction Using Machine Learning
Danilevicz M, Gill M, Anderson R, Batley J, Bennamoun M, Bayer P, et al.
Front Genet . 2022 Jun; 13:822173. PMID: 35664329
Genomic prediction tools support crop breeding based on statistical methods, such as the genomic best linear unbiased prediction (GBLUP). However, these tools are not designed to capture non-linear relationships within...
4.
Producing High-Quality Single Nucleotide Polymorphism Data for Genome-Wide Association Studies
Bayer P, Gill M, Danilevicz M, Edwards D
Methods Mol Biol . 2022 May; 2481:153-159. PMID: 35641763
Single-nucleotide polymorphisms (SNPs) have become the primary type of molecular genetic marker used in a diverse range of genetic and genomic studies. SNPs can be used to identify genomic regions...
5.
Machine learning models outperform deep learning models, provide interpretation and facilitate feature selection for soybean trait prediction
Gill M, Anderson R, Hu H, Bennamoun M, Petereit J, Valliyodan B, et al.
BMC Plant Biol . 2022 Apr; 22(1):180. PMID: 35395721
Recent growth in crop genomic and trait data have opened opportunities for the application of novel approaches to accelerate crop improvement. Machine learning and deep learning are at the forefront...
6.
Pangenomes as a Resource to Accelerate Breeding of Under-Utilised Crop Species
Tay Fernandez C, Nestor B, Danilevicz M, Gill M, Petereit J, Bayer P, et al.
Int J Mol Sci . 2022 Mar; 23(5). PMID: 35269811
Pangenomes are a rich resource to examine the genomic variation observed within a species or genera, supporting population genetics studies, with applications for the improvement of crop traits. Major crop...
7.
Crop breeding for a changing climate: integrating phenomics and genomics with bioinformatics
Marsh J, Hu H, Gill M, Batley J, Edwards D
Theor Appl Genet . 2021 Apr; 134(6):1677-1690. PMID: 33852055
Safeguarding crop yields in a changing climate requires bioinformatics advances in harnessing data from vast phenomics and genomics datasets to translate research findings into climate smart crops in the field....