Bioconductor version: Release (3.6)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("methylInheritance")
HTML | R Script | Permutation-Based Analysis associating Conserved Differentially Methylated Elements from One Generation to the Next to a Treatment Effect |
Reference Manual | ||
Text | NEWS |
biocViews | BiologicalQuestion, DNAMethylation, DifferentialMethylation, Epigenetics, MethylSeq, Sequencing, Software, StatisticalMethod, WholeGenome |
Version | 1.2.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (1 year) |
License | Artistic-2.0 |
Depends | R (>= 3.4) |
Imports | methylKit, BiocParallel, GenomicRanges, IRanges, S4Vectors, methods, parallel, ggplot2, gridExtra, rebus |
LinkingTo | |
Suggests | BiocStyle, BiocGenerics, knitr, rmarkdown, RUnit, methInheritSim |
SystemRequirements | |
Enhances | |
URL | https://github.com/adeschen/methylInheritance |
BugReports | https://github.com/adeschen/methylInheritance/issues |
Depends On Me | |
Imports Me | |
Suggests Me | methInheritSim |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | methylInheritance_1.2.0.tar.gz |
Windows Binary | methylInheritance_1.2.0.zip |
Mac OS X 10.11 (El Capitan) | methylInheritance_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/methylInheritance |
Package Short Url | http://bioconductor.org/packages/methylInheritance/ |
Package Downloads Report | Download Stats |
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