Author

Fergus Cooper

University of OxfordORCID 0000-0002-6221-4288Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:fine-mapping· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Adam ŠmelkoiD· 1 shared Alejandro Madrid-ValienteiD· 1 shared Alexander G. Fletcher· 1 shared Alexander George FletcheriD· 1 shared Alexander GuseviD· 1 shared Alfonso ValenciaiD· 1 shared Arnau MontagudiD· 1 shared Derek ShyriD· 1 shared

Activity by Year

2016-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperSystems Biology

Adam ŠmelkoORCID

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3 papers

Recent·Most cited

Open Benchmarking for Cell-Based Multiscale Models: Lessons from a Community Initiative

Thaleia Ntiniakou, James M. Osborne, Jieling Zhao, Jules Dichamp, Nicolò Cogno, Randy W. Heiland, Kwabena Amponsah, Jiří Pešek, Tobias Duswald, Othmane Hayoun-Mya, Jack Jennings, Matteo Pedrazzi, Ryan Bournes, Marco Ruscone, Fergus Cooper, , Arnau Montagud

This paper presents a community-driven benchmarking initiative for cell-based multiscale models, highlighting variations in tool implementations and advocating for standardized benchmarks and interoperability.

bioRxiv · Jul 16, 2025 · PreprintSystems Biology

Identity-by-descent detection across 487,409 British samples reveals fine-scale population structure, evolutionary history, and trait associations

Juba Nait Saada, Georgios Kalantzis, Derek Shyr, Fergus Cooper, Martin J. Robinson, Alexander Gusev, Pier Francesco Palamara

The paper detects identity-by-descent segments in 487,409 UK Biobank samples to reveal population structure, evolutionary history, and trait associations.

Nature Communications · Nov 30, 2020Peer-reviewedGenetics

Numerical Analysis of the Immersed Boundary Method for Cell-Based Simulation

Fergus R. Cooper, Ruth E. Baker, Alexander G. Fletcher

This paper presents an efficient, open-source implementation of the immersed boundary method for simulating cell population dynamics, providing scaling relationships for accurate parameterization.

bioRxiv · Aug 24, 2016 · PreprintSystems Biology