- recipe bioconductor-methylinheritance
Permutation-Based Analysis associating Conserved Differentially Methylated Elements Across Multiple Generations to a Treatment Effect
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.
- package bioconductor-methylinheritance¶
- depends bioconductor-biocparallel:
- depends bioconductor-genomicranges:
- depends bioconductor-iranges:
- depends bioconductor-methylkit:
- depends bioconductor-s4vectors:
- depends r-base:
- depends r-ggplot2:
- depends r-gridextra:
- depends r-rebus:
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-methylinheritance and update with:: mamba update bioconductor-methylinheritance
To create a new environment, run:
mamba create --name myenvname bioconductor-methylinheritance
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).
Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-methylinheritance:<tag> (see `bioconductor-methylinheritance/tags`_ for valid values for ``<tag>``)