Author

G. S. Cole

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 3

Signature Assays, Organisms & Methods

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Organism:plant (other)· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

M. A. Hardigan· 3 shared S. J. Knapp· 3 shared D. D. A. Pincot· 2 shared M. J. Feldmann· 2 shared A. Rodriguez· 1 shared A. Tabb· 1 shared C. Heffelfinger· 1 shared C. M. Lopez· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersPlant Biology

M. A. Hardigan

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Author profile →

3 papers

Recent·Most cited

Novel Fusarium Wilt Resistance Genes Uncovered in the Wild Progenitors and Heirloom Cultivars of Strawberry

D. D. A. Pincot, M. J. Feldmann, M. A. Hardigan, M. V. Vachev, P. M. Henry, T. R. Gordon, A. Rodriguez, N. Cobo, G. S. Cole, G. L. Coaker, S. J. Knapp

This study identifies multiple resistance genes against Fusarium wilt in wild and cultivated strawberries and develops markers for breeding resistant cultivars.

bioRxiv · Dec 7, 2021 · PreprintPlant Biology

Social Network Analysis of the Genealogy of Strawberry: Retracing the Wild Roots of Heirloom and Modern Cultivars

D. D. A. Pincot, M. Ledda, M. Feldmann, M. A. Hardigan, T. J. Poorten, D. Runcie, C. Heffelfinger, S. L. Dellaporta, G. S. Cole, S. J. Knapp

This paper reconstructs the genealogy of cultivated strawberry to uncover its complex hybrid ancestry and domestication history, revealing key ancestral contributions and changes in breeding cycles.

bioRxiv · Sep 30, 2020Plant Biology

Multi-Dimensional Machine Learning Approaches for Fruit Shape Recognition and Phenotyping in Strawberry

M. J. Feldmann, M. A. Hardigan, R. A. Famula, C. M. Lopez, A. Tabb, G. S. Cole, S. J. Knapp

This study uses machine learning and morphometric analysis to quantify and classify strawberry fruit shapes, generating a dictionary of quantitative traits for genetic studies.

bioRxiv · Aug 15, 2019Plant Biology