Author

Timothy P. Bilton

AgResearchORCID 0000-0001-5945-3766Unclaimed 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 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

K. G. DoddsiD· 2 shared David ChagnéiD· 1 shared John Colin McEwaniD· 1 shared Matthew SchofieldiD· 1 shared Michael A. BlackiD· 1 shared Phillip L. WilcoxiD· 1 shared Rüdiger BräuningiD· 1 shared Shannon ClarkeiD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersGenetics

K. G. DoddsORCID

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2 papers

Recent·Most cited

GeneticsGeneticsPeer-reviewedMar 26, 2018

Linkage Disequilibrium Estimation in Low Coverage High-Throughput Sequencing Data

Timothy P. Bilton, John Colin McEwan, Shannon Clarke…·K. G. Dodds

This paper develops a method to accurately estimate linkage disequilibrium from low coverage sequencing data by accounting for under-called heterozygous genotypes.

65 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky

GeneticsGeneticsPeer-reviewedFeb 27, 2018

Accounting for Errors in Low Coverage High-Throughput Sequencing Data when Constructing Genetic Maps using Biparental Outcrossed Populations

Timothy P. Bilton, Matthew Schofield, Michael A. Black…·K. G. Dodds

The paper introduces GUSMap, a method to construct accurate genetic maps from low coverage sequencing data by accounting for sequencing and genotyping errors in biparental outcrossed populations.

48 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky