Author

J. Lyerly

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· 2

Signature Assays, Organisms & Methods

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Organism:plant (other)· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

E. Mason· 2 shared Z. J. Winn· 2 shared E. Hudson-Arns· 1 shared G. Bai· 1 shared G. J. Brown-Guedira· 1 shared J. P. Murphy· 1 shared M. Hammers· 1 shared N. D. DeWitt· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersPlant Biology

E. Mason

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Author profile →

2 papers

Recent·Most cited

HaploCatcher: An R Package for Prediction of Haplotypes

Z. J. Winn, E. Hudson-Arns, M. Hammers, N. D. DeWitt, J. Lyerly, G. Bai, P. St Amand, P. Nachappa, S. D. Haley, E. Mason

HaploCatcher predicts haplotypes using a random forest model trained on wheat lines with the Sst1 locus, achieving high accuracy in predicting stem solidness resistance.

The Plant Genome · Nov 15, 2023Peer-reviewedPlant Biology

UTILIZATION OF A PUBLICLY AVAILABLE DIVERSITY PANEL IN GENOMIC PREDICTION OF FUSARIUM HEAD BLIGHT RESISTANCE TRAITS IN WHEAT

Z. J. Winn, J. Lyerly, G. J. Brown-Guedira, J. P. Murphy, E. Mason

The paper uses a historical wheat dataset to evaluate genomic prediction of Fusarium head blight resistance traits, finding that environment clustering improves predictive accuracy.

bioRxiv · Feb 15, 2023 · PreprintPlant Biology