README.md

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

Conserved Differentially Methylated Elements from One Generation to the Next: Inheritance versus Randomness

The methylInheritance package implements a 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.

Citing

If you use this package for a publication, we would ask you to cite the following:

Pascal Belleau, Astrid Deschênes, Marie-Pier Scott-Boyer, Romain Lambrot, Mathieu Dalvai, Sarah Kimmins, Janice Bailey, Arnaud Droit; Inferring and modeling inheritance of differentially methylated changes across multiple generations, Nucleic Acids Research, Volume 46, Issue 14, 21 August 2018, Pages e85. DOI: https://doi.org/10.1093/nar/gky362

Bioconductor Package

methylInheritance is now an official package of Bioconductor. The current release can be directly downloaded from their website: Current release

Description of Package Functionality

The vignette of the methylInheritance package, which is a document that provides a task-oriented description of the package functionality, is available on Bioconductor website: methylInheritance vignette

Authors

Astrid Deschênes, Pascal Belleau and Arnaud Droit.

License

This package and the underlying methylInheritance code are distributed under the Artistic license 2.0. You are free to use and redistribute this software.

For more information on Artistic 2.0 License see http://opensource.org/licenses/Artistic-2.0

Bugs/Feature requests

If you have any bugs or feature requests, let us know.

Thanks!

methylInheritance documentation built on Nov. 8, 2020, 8:21 p.m.