Author

C. Melamed-Bessudo

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

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Plant Biology· 2

Signature Assays, Organisms & Methods

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Assay:ChIP-seq· 2 Research Focus:chromatin & epigenetic regulation· 2 Assay:DNA methylation· 2 Organism:Arabidopsis· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. A. Levy· 2 shared S. Shilo· 2 shared A. P. Marand· 1 shared A. Zhou· 1 shared C. Chen· 1 shared C. J. Underwood· 1 shared I. Azuri· 1 shared I. R. Henderson· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersPlant Biology

A. A. Levy

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2 papers

Recent·Most cited

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

T-DNA integration is rapid and influenced by the chromatin state of the host genome.

S. Shilo, P. Tripathi, C. Melamed-Bessudo, O. Tzfadia, T. R. Muth, A. A. Levy

The paper maps T-DNA integration sites in plants over time and finds uniform distribution with local biases and chromatin state influences.

bioRxiv · Jan 31, 2017Plant Biology