Author

James Michael Curran

University of AucklandORCID 0000-0003-3323-6733Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2

Frequent Co-Authors

Amke CaliebeiD· 1 shared Duncan TayloriD· 1 shared Jo‐Anne BrightiD· 1 shared John BuckletoniD· 1 shared Michael KrawczakiD· 1 shared Mikkel Meyer AnderseniD· 1 shared Tóra Oluffa Stenberg OlseniD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 9 mutual co-author links

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1 shared paperGenetics

Amke CaliebeORCID

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2 papers

Recent·Most cited

GeneticsForensic Science International GeneticsPeer-reviewedMay 22, 2026

Are genetically defined "metapopulations" self-evident in YHRD?

Tóra Oluffa Stenberg Olsen, Mikkel Meyer Andersen, James Michael Curran…·Amke Caliebe

The paper investigates whether YHRD's metapopulations are self-evident by analyzing genetic structure using cluster analysis and finds weak genetic structure that does not support clear subgrouping.

DOI 10.1016/j.fsigen.2026.103525

statistical modelbenchmarking

𝕏 PostBluesky

Molecular BiologybioRxivPreprintJun 25, 2021

Testing methods for quantifying Monte Carlo variation for categorical variables in Probabilistic Genotyping

Jo‐Anne Bright, Duncan Taylor, James Michael Curran, John Buckleton

The paper tests two methods for quantifying Monte Carlo variation in probabilistic genotyping, finding both fall short of achieving 99% coverage but provide additional conservatism.

3 citations

statistical modelbenchmarking

𝕏 PostBluesky