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idDMR - Identify Differentially Methylated Regions for microarray data

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DanielAlhassan/idDMR

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idDMR Package

idDMR - Identify Differentially Methylated Regions for Microarray Data 🧬

R packageversion Licence

Documentation

Installation

install.packages("devtools")
devtools::install_github("DanielAlhassan/idDMR") 

Usage

To use the idDMR package, start by loading dependencies which will install (where necessary) and load all dependent packages:

library(idDMR)

load_dependencies()

To run CpG site-level test (or determine differentially methylated loci), use the function cpgsite.annotate()

myannotation <- cpgsite.annotate(datatype = "array", mval, what = "M", arraytype = "450K",
                                 analysis.type = "differential", design = design_mat,
                                 coef = 2, fdr = 0.05)

Next, use aadmr() function to identify differentially methylated regions.

aadmr = aaDMR(myannotation, g = 1000,  min.cpgs = 2)

#extract the DMResults and output as a dataframe
aadmr_df <- arrange(data.frame(extractRanges(aadmr, genome = "hg19")), seqnames)

Acknowledgments

We would like to immensely thank all authors and contributors to the DMRcate R/Biconductor package - their work served as a major foundation for this package we made.

Citation

When you use idDMR package, please cite the following:

@Manual{,
    title = {idDMR: Identifying Differentially Methylated Regions for Illumina Microarray Data},
    author = {Daniel Alhassan and Gayla Olbricht and Akim Adekpedjou and Ebenezer Agbozo},
    year = {2022},
    note = {R package version 0.5.0},
    url = {https://github.com/DanielAlhassan/idDMR}
  }

@Article{,
  author = {Timothy J Peters and Michael J Buckley and Aaron L Statham and Ruth Pidsley and Katherine Samaras and Reginald V Lord and Susan J Clark and Peter L Molloy},
  title = {De novo identification of differentially methylated regions in the human genome},
  journal = {Epigenetics & Chromatin},
  year = {2015},
  volume = {8},
  pages = {6},
  url = {http://www.epigeneticsandchromatin.com/content/8/1/6},
}

@Article{,
  author = {Timothy J Peters and Michael J Buckley and {Yunshun Chen} and Gordon K Smyth and Christopher C Goodnow and Susan J Clark},
  title = {Calling differentially methylated regions from whole genome bisulphite sequencing with DMRcate},
  journal = {Nucleic Acids Research},
  year = {2021},
  volume = {49},
  issue = {19},
  url = {https://academic.oup.com/nar/article/49/19/e109/6329576},
}

License

This package is free and open source software, licensed under GPL-3.

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idDMR - Identify Differentially Methylated Regions for microarray data

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