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methylInheritance

DOI: 10.18129/B9.bioc.methylInheritance    

Permutation-Based Analysis associating Conserved Differentially Methylated Elements from One Generation to the Next to a Treatment Effect

Bioconductor version: Release (3.5)

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 DeschĂȘnes, Pascal Belleau and Arnaud Droit

Maintainer: Astrid Deschenes <adeschen at hotmail.com>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("methylInheritance")

Documentation

HTML R Script Permutation-Based Analysis associating Conserved Differentially Methylated Elements from One Generation to the Next to a Treatment Effect
PDF   Reference Manual
Text   NEWS

Details

biocViews BiologicalQuestion, DNAMethylation, DifferentialMethylation, Epigenetics, MethylSeq, Sequencing, Software, StatisticalMethod, WholeGenome
Version 1.0.0
In Bioconductor since BioC 3.5 (R-3.4) (0.5 years)
License Artistic-2.0
Depends R (>= 3.4)
Imports methylKit, BiocParallel, GenomicRanges, IRanges, S4Vectors, methods, ggplot2, gridExtra
LinkingTo
Suggests BiocStyle, BiocGenerics, knitr, rmarkdown, RUnit
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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Source Package methylInheritance_1.0.0.tar.gz
Windows Binary methylInheritance_1.0.0.zip
Mac OS X 10.11 (El Capitan) methylInheritance_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/methylInheritance
Package Short Url http://bioconductor.org/packages/methylInheritance/
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