Author

Jessica Moore

University of Cambridge

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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Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Organism:Arabidopsis· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alastair CrispiD· 1 shared Andrew SharpeiD· 1 shared Brad Hope· 1 shared ChuShin KohiD· 1 shared David Thomas Herrmann· 1 shared Erin E. Higgins· 1 shared Francisco BerkemeieriD· 1 shared Henry W. Klein-Gebbinck· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenomics

Alastair CrispORCID

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2 papers

Recent·Most cited

A genome language model for mapping DNA replication origins

Pauline Luise Pfuderer, Francisco Berkemeier, Joëlle Nassar, Alastair Crisp, Jedrzej J Jaworski, Jessica Moore, Julian E. Sale, Michael A. Boemo

The paper introduces ORILINX, a genome language model that predicts replication origins in human and other mammalian genomes using sequence context.

bioRxiv · Jan 30, 2026 · PreprintGenomics

Harnessing genome prediction in Brassica napus through a nested association mapping population

Sampath Perumal, Erin E. Higgins, Simarjeet Sra, Yogendra P. Khedikar, Jessica Moore, Raju Chaudhary, Teketel A. Haile, ChuShin Koh, Sally Lynne Vail, Stephen J. Robinson, Kyla N. Horner, Brad Hope, Henry W. Klein-Gebbinck, David Thomas Herrmann, Zahra-Katy Navabi, , Isobel A. P. Parkin

This study evaluates genome prediction accuracy in Brassica napus using nested association mapping, finding that rrBLUP and RKHS models and SNaP markers improve prediction accuracy for agronomic traits.

The Plant Genome · Sep 28, 2025Peer-reviewedGenomics