Author

M. Zelkowski

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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Research Focus:chromatin & epigenetic regulation· 2 Assay:DNA methylation· 2 Organism:zebrafish· 2 Organism:Arabidopsis· 1 Research Focus:cell signaling & trafficking· 1 Assay:ChIP-seq· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1

Frequent Co-Authors

C. Chen· 2 shared J. Pillardy· 2 shared M. Wang· 2 shared Q. Sun· 2 shared W. P. Pawlowski· 2 shared A. A. Levy· 1 shared A. P. Marand· 1 shared A. Zhou· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersPlant Biology

C. Chen

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2 papers

Recent·Most cited

Crossing-over decision landscape in maize

M. Zelkowski, M. Wang, Q. Sun, J. Pillardy, P. M. Kianian, S. Kianian, C. Chen, W. P. Pawlowski

The paper investigates how crossover (CO) distribution in maize becomes U-shaped during meiosis, finding that chromatin state, not DNA methylation or sequence polymorphism, shapes the final CO landscape.

bioRxiv · Sep 21, 2022 · PreprintPlant 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