Author

David T. Ashton

ORCID 0000-0002-0996-6368Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:non-human primate· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Georgia Samuels· 2 shared Julie BlommaertiD· 2 shared Maren WellenreutheriD· 2 shared Damian MoraniD· 1 shared Flávio Batista RibeiroiD· 1 shared Joshua Fantham· 1 shared Linley K. JessoniD· 1 shared Philipp E. BayeriD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 28 mutual co-author links

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2 shared papersZoology

Georgia Samuels

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2 papers

Recent·Most cited

ZoologyNew Zealand Journal of Marine and Freshwater ResearchPeer-reviewedFeb 4, 2026

Selective breeding and production strategies to support snapper farming in the warming waters of New Zealand's South Island

Georgia Samuels, Flávio Batista Ribeiro, David T. Ashton…·Maren Wellenreuther

This study evaluates the performance of selectively bred F4 versus unselected F1 Australasian snapper in two rearing environments, finding improved growth and survival in F4 snapper.

1 citation

experimental assay

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GenomicsbioRxivPreprintMay 29, 2025

Predicting phenotypes with one step genetic decision trees

Julie Blommaert, Philipp E. Bayer, David T. Ashton…·Maren Wellenreuther

The paper uses computer vision and machine learning to predict growth traits in snapper, finding that models capture 18-40% of genetic variation but face challenges from population structure.

1 citation

non-human primatemachine learning (classical)

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