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This is the development version of methylInheritance; for the stable release version, see methylInheritance.

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

Bioconductor version: Development (3.19)

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 [cre, aut] , Pascal Belleau [aut] , Arnaud Droit [aut]

Maintainer: Astrid DeschĂȘnes <adeschen at>

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


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Reference Manual PDF


biocViews BiologicalQuestion, DNAMethylation, DifferentialMethylation, Epigenetics, ImmunoOncology, MethylSeq, Sequencing, Software, StatisticalMethod, WholeGenome
Version 1.27.0
In Bioconductor since BioC 3.5 (R-3.4) (7 years)
License Artistic-2.0
Depends R (>= 3.5)
Imports methylKit, BiocParallel, GenomicRanges, IRanges, S4Vectors, methods, parallel, ggplot2, gridExtra, rebus
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Suggests BiocStyle, BiocGenerics, knitr, rmarkdown, RUnit, methInheritSim
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