Author

S. F. Kianian

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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Research Focus:gene regulatory network inference· 2 Organism:Arabidopsis· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

E. C. Henningsen· 2 shared M. Figueroa· 2 shared A. A. Levy· 1 shared A. P. Marand· 1 shared A. Zhou· 1 shared B. J. Steffenson· 1 shared C. Chen· 1 shared C. D. Hirsch· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersPlant Biology

E. C. Henningsen

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3 papers

Recent·Most cited

Virulence patterns of oat crown rust in Australia - season 2022

E. C. Henningsen, D. C. Lewis, D. T. Nguyen, J. Sperschneider, S. F. Kianian, E. Stone, P. Dodds, M. Figueroa

The paper characterizes virulence patterns of Puccinia coronata f. sp. avenae isolates from Australia, finding higher virulence diversity in Eastern Australia compared to Western Australia.

bioRxiv · Sep 24, 2023Plant Biology

Machine learning reveals conserved chromatin patterns determining meiotic recombination sites in plants

M. Wang, S. Shilo, A. Zhou, M. Zelkowski, M. A. Olson, I. Azuri, N. Shoshani-Hechel, C. Melamed-Bessudo, A. P. Marand, J. Jiang, J. C. Schnable, C. J. Underwood, I. R. Henderson, Q. Sun, J. Pillardy, , W. P. Pawlowski

The paper uses machine learning to identify key chromatin features that determine meiotic recombination sites in plants, finding that three features can predict crossover sites with 90% accuracy.

bioRxiv · Jul 11, 2022 · PreprintPlant Biology

Identification of candidate susceptibility genes to Puccinia graminis f. sp. tritici in wheat

E. C. Henningsen, V. Omidvar, R. Della Coletta, J.-M. Michno, E. Gilbert, F. Li, M. Miller, C. L. Myers, S. P. Gordon, J. P. Vogel, B. J. Steffenson, S. F. Kianian, C. D. Hirsch, M. Figueroa

The paper identifies candidate susceptibility genes to wheat stem rust disease by analyzing gene expression changes in susceptible and resistant wheat genotypes and a non-host plant.

bioRxiv · Jan 23, 2021Plant Biology