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methylInheritance

Permutation-Based Analysis associating Conserved Differentially Methylated Elements Across Multiple Generations to a Treatment Effect

Bioconductor version: 3.23 · Package version: 1.36.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

Permutation analysis, based on Monte Carlo sampling, for testing the hypothesis that the number of conserved differentially methylated elements, between several generations, is associated to an effect inherited from a treatment and that stochastic effect can be dismissed.

DOI: 10.18129/B9.bioc.methylInheritance

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("methylInheritance")

Details

MaintainerAstrid DeschĂȘnes <adeschen@hotmail.com>
AuthorAstrid DeschĂȘnes [cre, aut] (ORCID: <https://orcid.org/0000-0001-7846-6749>), Pascal Belleau [aut] (ORCID: <https://orcid.org/0000-0002-0802-1071>), Arnaud Droit [aut]
LicenseArtistic-2.0
URLhttps://github.com/adeschen/methylInheritance
Bug Reportshttps://github.com/adeschen/methylInheritance/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsBiologicalQuestion, DNAMethylation, DifferentialMethylation, Epigenetics, ImmunoOncology, MethylSeq, Sequencing, Software, StatisticalMethod, WholeGenome
Package Short Url https://bioconductor.org/packages/methylInheritance/

Citation

From within R, enter citation("methylInheritance"):

Astrid DeschĂȘnes, Pascal Belleau, Arnaud Droit. methylInheritance: Permutation-Based Analysis associating Conserved Differentially Methylated Elements Across Multiple Generations to a Treatment Effect. doi:10.18129/B9.bioc.methylInheritance, R package version 1.36.0, https://bioconductor.org/packages/methylInheritance.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagemethylInheritance_1.36.0.tar.gz
Windows binary (x86_64)methylInheritance_1.36.0.zip
macOS binary (arm64)methylInheritance_1.36.0.tgz
macOS binary (x86_64)methylInheritance_1.36.0.tgz
Dependencies

Depends: R (>= 3.5)

Imports: methylKit, BiocParallel, GenomicRanges, IRanges, S4Vectors, methods, parallel, ggplot2, gridExtra, rebus

Suggests: BiocStyle, BiocGenerics, knitr, rmarkdown, RUnit, methInheritSim, testthat (>= 3.0.0)

Reverse dependencies

Suggests Me (1): methInheritSim