Author

E. Peremyslova

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 Approach:deep learning· 2 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1

Frequent Co-Authors

C. Ma· 3 shared D. Kaur· 3 shared F. Li· 3 shared J. Yuan· 3 shared S. H. Strauss· 3 shared A. Nino de Rivera· 2 shared M. F. Nagle· 2 shared W. Muchero· 2 shared

Activity by Year

2022-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersPlant Biology

C. Ma

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Author profile →

3 papers

Recent·Most cited

GWAS identifies candidate genes controlling adventitious rooting in Populus trichocarpa

M. F. Nagle, J. Yuan, D. Kaur, C. Ma, E. Peremyslova, Y. Jiang, C. J. Willig, G. S. Goralogia, A. Nino de Rivera, M. McEldowney, A. Goddard, A. Magnuson, W. Muchero, F. Li, S. H. Strauss

This study uses GWAS to identify 277 candidate genes associated with adventitious rooting in Populus trichocarpa, highlighting roles in hormone signaling, cell division, and reactive oxygen species.

bioRxiv · Jun 14, 2022Plant Biology

GWAS identifies candidate regulators of in planta regeneration in Populus trichocarpa

M. F. Nagle, J. Yuan, D. Kaur, C. Ma, E. Peremyslova, Y. Jiang, A. Nino de Rivera, S. Jawdy, J.-G. Chen, K. Feng, T. B. Yates, G. A. Tuskan, W. Muchero, F. Li, S. H. Strauss

This study uses GWAS to identify candidate genes regulating in planta regeneration in Populus trichocarpa, finding over 200 genes involved in cell adhesion, stress signaling, and hormone pathways.

bioRxiv · Jun 8, 2022 · PreprintPlant Biology

Robust high-throughput phenotyping with deep segmentation enabled by a web-based annotator

J. Yuan, D. Kaur, Z. Zhou, M. Nagle, N. A. Doshi, A. Behnoudfar, E. Peremyslova, C. Ma, S. H. Strauss, F. Li

This paper introduces a high-throughput plant phenotyping system with a GUI and SGIOS algorithm to streamline training data generation and improve GWAS for trait variation analysis.

bioRxiv · Mar 11, 2022Plant Biology