Prof. David Edwards
Bio
Professor David Edwards is a leading bioinformatician specializing in plant genomics.
He holds a PhD from the University of Cambridge (2000) and a BSc (Hons) from the University of Nottingham (1989). Since 2015, he has served as a Winthrop Professor at the University of Western Australia (UWA), where he leads the Centre for Applied Bioinformatics.
His research focuses on the application of bioinformatics in crop genomics, including genome sequencing, pangenomics, trait association and the use of machine learning in plant biology. Professor Edwards has held positions in industry, government and academia, and has contributed to diverse research projects and publications related to plant evolution and crop improvement.
Publications
| Title | Year | Published by | Link |
|---|---|---|---|
| Haplotype applications in genomic selection | 2026 | Genome Biology | DOI |
| Accessing crop genetic diversity via pangenomics | 2026 | Theoretical and Applied Genetics | DOI |
| Dissection of local haplotype diversity at soybean rust loci reveals resistance-associated and context-dependent variation patterns in diverse germplasm | 2026 | Theoretical and Applied Genetics | DOI |
| Trait Association for Flowering Time in Lentil from Global Multi-Environment Data Using GWAS and Machine Learning | 2026 | Plants | DOI |
| The graphical barley pangenome reveals micro- and macro-scale genetic variation | 2026 | Agriculture Communications | DOI |
| On the use and misuse of pangenome and related terms | 2026 | Nature Communications | DOI |
| Genome-Wide Association Study | 2026 | Legume Genomics | DOI |
| Legume Pangenome Construction Using an Iterative Mapping and Assembly Approach | 2026 | Legume Genomics | DOI |
| Local Haplotyping Analysis for Flowering Time in Soybean Using Crosshap | 2026 | Legume Genomics | DOI |
| HaploVar: an R package for defining local haplotype variants for trait association and trait prediction analyses | 2025 | Bioinformatics | DOI |
| First Report of Genomic Regions Associated With White Leaf Spot Resistance in Brassica napus | 2025 | Plant Pathology | DOI |
| Pangenomes as a framework for adaptive radiation, speciation, and adaptation | 2025 | American Journal of Botany | DOI |
| Pangenomics combined with artificial intelligence and precision breeding can accelerate crop improvement | 2025 | Current Opinion in Plant Biology | DOI |
| The unexplored diversity of rough-seeded lupins provides rich genomic resources and insights into lupin evolution | 2025 | Nature Communications | DOI |
| Omics for Improving Seed Quality and Yield | 2025 | Seeds | DOI |
| Understanding plant phenotypes in crop breeding through explainable AI | 2025 | Plant Biotechnology Journal | DOI |
| Omics for Improving Seed Quality and Yield | 2025 | See DOI. | DOI |
| Applications of CRISPR/Cas tools in improving stress tolerance in Brassica crops | 2025 | Frontiers in Plant Science | DOI |
| Identification of new genomic loci for seed protein and oil content in the soybean pangenome using genome-wide association and haplotype analyses | 2025 | Theoretical and Applied Genetics | DOI |
| Genome‐wide identification and evolutionary analysis of disease resistance genes in Brassica carinata | 2025 | The Plant Genome | DOI |
This list shows only the author's 20 most recent publications.
View all David's publications on ORCID