Author

Christina Eynck

Agriculture and Agri-Food CanadaORCID 0000-0001-8693-2340Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:plant (other)· 2 Assay:whole-genome sequencing· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1 Research Focus:phylogenetics / evolution· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrew SharpeiD· 2 shared Isobel A. P. ParkiniD· 2 shared Erin E. Higgins· 1 shared Ian StavnessiD· 1 shared Jordan R. UbbensiD· 1 shared Kevin C. Koh· 1 shared Kyla N. Horner· 1 shared Peng Gao· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenomics

Andrew SharpeORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintAug 18, 2025

A new subgenome of the Camelina genus reveals genome dominance is controlled by chromosomal proximity

Raju Chaudhary, Kevin C. Koh, Peng Gao…·Isobel A. P. Parkin

The paper reports new genome assemblies of Camelina species, revealing subgenome dominance patterns linked to chromosomal proximity and structure in polyploid evolution.

DOI 10.1101/2025.08.18.670935

plant (other)whole-genome sequencing

𝕏 PostBluesky

BioinformaticsThe Plant GenomePeer-reviewedOct 1, 2021

Deep Neural Networks for Genomic Prediction Do Not Estimate Marker Effects

Jordan R. Ubbens, Isobel A. P. Parkin, Christina Eynck…·Andrew Sharpe

This paper shows deep neural networks for genomic prediction do not estimate marker effects, instead relying on genetic relatedness.

47 citationstop 4%

plant (other)whole-genome sequencing

𝕏 PostBluesky