Author

C. J. Underwood

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:Arabidopsis· 1 Assay:ChIP-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1

Frequent Co-Authors

A. A. Levy· 1 shared A. P. Marand· 1 shared A. Zhou· 1 shared B. Huettel· 1 shared B. Usadel· 1 shared C. Chen· 1 shared C. Melamed-Bessudo· 1 shared H. J. Schouten· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPlant 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

A gap-free tomato genome built from complementary PacBio and Nanopore long DNA sequences reveals extensive linkage drag during breeding

W. M. J. van Rengs, M. H.- W. Schmidt, S. Effgen, Y. Wang, M. W. A. M. Zaidan, B. Huettel, H. J. Schouten, B. Usadel, C. J. Underwood

The paper uses long-read sequencing to assemble a complete tomato genome, revealing linkage drag from a wild species during breeding.

bioRxiv · Aug 30, 2021Plant Biology