Author

Rachel P. Naegele

Agricultural Research ServiceORCID 0000-0002-7524-6086Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:genome assembly· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Kevin DorniD· 2 shared Adam M. PhillippyiD· 1 shared Alex R. HastieiD· 1 shared Anastasia K. YocumiD· 1 shared Andrew FunkiD· 1 shared Aude Darracq· 1 shared Belinda Townsend· 1 shared Damian FerminiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersGenomics

Kevin DornORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintMar 20, 2026

Evolutionary and Deep Learning Models Highlight Deleterious Mutations Behind the History of Sugar Beet Breeding

Evan M. Long, Rajtilak Majumdar, Rachel P. Naegele, Kevin Dorn

The paper identifies deleterious mutations in sugar beet by combining evolutionary models and deep learning, showing a decline in genetic load over time due to breeding.

DOI 10.64898/2026.03.18.712733

whole-genome sequencingdeep learning

GenomicsDNA ResearchPeer-reviewedSep 12, 2022

A contiguous de novo genome assembly of sugar beet EL10 (Beta vulgaris L.)

J. Mitchell McGrath, Andrew Funk, Paul J. Galewski…·Kevin Dorn

The paper presents a contiguous de novo genome assembly of sugar beet EL10 using long-read sequencing and scaffolding, showing high congruence with the reference genome and reduced gene copy number variation.

78 citationstop 3%

whole-genome sequencingexperimental assay