Author

Brigitte T. Hofmeister

University of GeorgiaORCID 0000-0002-2355-8459Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:DNA methylation· 3 Research Focus:database / resource· 2 Organism:plant (other)· 2 Research Focus:software / tool· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Organism:Arabidopsis· 1 Research Focus:benchmarking· 1

Frequent Co-Authors

Robert J. SchmitziD· 3 shared Frank M. JohannesiD· 2 shared Gerald A. TuskaniD· 2 shared Johanna DenkenaiD· 2 shared Maria Colomé‐TatchéiD· 2 shared Rashmi R. HazarikaiD· 2 shared Yadollah ShahryaryiD· 2 shared Aikaterini SymeonidiiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersGenomics

Robert J. SchmitzORCID

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3 papers

Recent·Most cited

AlphaBeta: Computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants

Yadollah Shahryary, Aikaterini Symeonidi, Rashmi R. Hazarika, Johanna Denkena, Talha Mubeen, Brigitte T. Hofmeister, Thomas P. van Gurp, Maria Colomé‐Tatché, Koen J. F. Verhoeven, Gerald A. Tuskan, Robert J. Schmitz, Frank M. Johannes

AlphaBeta estimates epimutation rates and spectra from DNA methylation data in plants, showing conserved epimutation landscapes and providing a molecular clock for tree age-dating.

Genome biology · Oct 6, 2020Peer-reviewedGenomics

The somatic genetic and epigenetic mutation rate in a wild long-lived perennial Populus trichocarpa

Brigitte T. Hofmeister, Johanna Denkena, Maria Colomé‐Tatché, Yadollah Shahryary, Rashmi R. Hazarika, Jane Grimwood, Sujan Mamidi, Jerry W. Jenkins, Paul Grabowski, Avinash Sreedasyam, Shengqiang Shu, Kerrie Barry, Kathleen Lail, Catherine Adam, Anna Lipzen, , Robert J. Schmitz

The paper quantifies age-related somatic mutations and epimutations in a wild Populus trichocarpa tree over 330 years, showing lower mutation rates than annuals and distinct epimutation origins.

bioRxiv · Dec 3, 2019 · PreprintGenomics

Enhanced JBrowse plugins for epigenomics data visualization

Brigitte T. Hofmeister, Robert J. Schmitz

The paper introduces JBrowse plugins for visualizing epigenomics data, enhancing scientific communication and discovery.

BMC Bioinformatics · Apr 25, 2018Peer-reviewedGenomics