MethylModes: computationally efficient detection of multimodal distributions in DNA methylation data

MethylModes is available on GitHub at https://github.com/lutiffan/methylModes as an R package wrapping an R Shiny application. We include a toy dataset to validate installation. The codebase is also published on Zenodo at https://doi.org/10.5281/zenodo.17448517.

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Publication Details

Journal
Bioinformatics
Published
2026-01-03
DOI
https://doi.org/10.1093/bioinformatics/btag045
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.00
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article

MethylModes: computationally efficient detection of multimodal distributions in DNA methylation data

John Dou, Kelly M. Bakulski, Erin B Ware, Jonathon LeFaive et al.
Bioinformatics
Epigenetics and DNA Methylation
article

MethylModes: computationally efficient detection of multimodal distributions in DNA methylation data

John Dou, Kelly M. Bakulski, Erin B Ware, Jonathon LeFaive, T Sophia Luo, Matthew Zawistowski
article en

Abstract

MethylModes is available on GitHub at https://github.com/lutiffan/methylModes as an R package wrapping an R Shiny application. We include a toy dataset to validate installation. The codebase is also published on Zenodo at https://doi.org/10.5281/zenodo.17448517.

BioinformaticsVol. 42(2)
University of Michigan (US), Institute for Social Research (NO)
Openalex Percentile: Top 82%
Epigenetics and DNA Methylation
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