Author

Brigitte T Hofmeister

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Biology Disciplines

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Bioinformatics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 2 Approach:statistical model· 2 Research Focus:chromatin & epigenetic regulation· 1 Approach:comparative / phylogenetic analysis· 1 Organism:plant (other)· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Adam J Bewick· 2 shared Robert J Schmitz· 2 shared Xiaoyu Zhang· 2 shared Benjamin Hartwig· 1 shared Chad E Niederhuth· 1 shared Christiane Kiefer· 1 shared Dave W Hall· 1 shared Eva-Maria Willing· 1 shared

Activity by Year

2015-2016 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersPlant Biology

Adam J Bewick

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2 papers

Recent·Most cited

Plant BiologyProceedings of the National Academy of SciencesPeer-reviewedJul 25, 2016

On the Origin and Evolutionary Consequences of Gene Body DNA Methylation

Adam J Bewick, Lexiang Ji, Chad E Niederhuth…·Robert J Schmitz

The paper investigates the origin and evolutionary consequences of gene body DNA methylation by studying the loss of this feature in two angiosperms, finding that CMT3 is essential for its establishment.

DOI 10.1073/pnas.1604666113

plant (other)DNA methylation

𝕏 PostBluesky

BioinformaticsbioRxivOct 20, 2015

FASTmC: a suite of predictive models for non-reference-based estimations of DNA methylation

Adam J Bewick, Brigitte T Hofmeister, Kevin J Lee…·Robert J Schmitz

FASTmC provides predictive models to estimate DNA methylation without a reference genome, using whole genome bisulfite sequencing data from as few as several thousand short-reads.

DOI 10.1534/g3.115.025668

DNA methylationstatistical model

𝕏 PostBluesky