Author

Glenn J. Bryan

James Hutton InstituteORCID 0000-0002-7752-5740Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:plant (other)· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Approach:benchmark study· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Ashleigh ListeriD· 1 shared Christine Anne HackettiD· 1 shared Darren HeavensiD· 1 shared David BakeriD· 1 shared David M. A. MartiniD· 1 shared David S. DouchesiD· 1 shared Elena Lopez GironaiD· 1 shared Fiorella Cugliandolo· 1 shared

Activity by Year

2016-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperGenomics

Ashleigh ListerORCID

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3 papers

Recent·Most cited

A critical comparison of technologies for a plant genome sequencing project

Pirita Paajanen, George Kettleborough, Elena Lopez Girona, Michael Giolai, Darren Heavens, David Baker, Ashleigh Lister, Fiorella Cugliandolo, Gail Wilde, Ingo Hein, Iain C. Macaulay, Glenn J. Bryan, Matthew D. Clark

This paper compares genome assembly technologies for the potato species S. verrucosum, evaluating their completeness, accuracy, cost, and computational requirements.

GigaScience · Jan 9, 2019Peer-reviewedGenomics

Mapping Loci that Control Tuber and Foliar Symptoms Caused by PVY in Autotetraploid Potato (Solanum tuberosum L.)

Washington da Silva, Jason T. Ingram, Christine Anne Hackett, Joseph J. Coombs, David S. Douches, Glenn J. Bryan, Walter S. De Jong, Stewart M. Gray

This study maps loci controlling tuber and foliar symptoms caused by PVY in potato using QTL analysis of F1 progeny.

G3 Genes Genomes Genetics · Sep 13, 2017Peer-reviewedGenetics

DMAP - Graphical representation of physical and genetic map correlation

David M. A. Martin, Glenn J. Bryan

DMAP visualizes and optimizes the correlation between physical and genetic maps, reducing data redundancy and highlighting anomalies in contig orientation.

bioRxiv · Nov 29, 2016 · PreprintBioinformatics