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methylInheritance

This is the released version of methylInheritance; for the devel version, see methylInheritance.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5

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


Bioconductor version: Release (3.23)

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.

Author: Astrid Deschênes [cre, aut] ORCID iD ORCID: 0000-0001-7846-6749 , Pascal Belleau [aut] ORCID iD ORCID: 0000-0002-0802-1071 , Arnaud Droit [aut]

Maintainer: Astrid Deschênes <adeschen at hotmail.com>

Citation (from within R, enter citation("methylInheritance")):

Astrid Deschênes, 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.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("methylInheritance")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("methylInheritance")
Permutation-Based Analysis associating Conserved Differentially Methylated Elements Across Multiple Generations to a Treatment Effect HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews BiologicalQuestion, DNAMethylation, DifferentialMethylation, Epigenetics, ImmunoOncology, MethylSeq, Sequencing, Software, StatisticalMethod, WholeGenome
Version1.36.0
In Bioconductor sinceBioC 3.5 (R-3.4) (9.5 years)
License Artistic-2.0
Depends R (>= 3.5)
Imports methylKit, BiocParallel, GenomicRanges, IRanges, S4Vectors, methods, parallel, ggplot2, gridExtra, rebus
System Requirements
URLhttps://github.com/adeschen/methylInheritance
Bug Reportshttps://github.com/adeschen/methylInheritance/issues
See More
Suggests BiocStyle, BiocGenerics, knitr, rmarkdown, RUnit, methInheritSim, testthat (>= 3.0.0)
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me methInheritSim
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package methylInheritance_1.36.0.tar.gz
Windows Binary (x86_64) methylInheritance_1.36.0.zip
macOS Binary (big-sur-x86_64) methylInheritance_1.36.0.tgz
macOS Binary (sonoma-arm64) methylInheritance_1.36.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/methylInheritance
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/methylInheritance
Package Short Url https://bioconductor.org/packages/methylInheritance/
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