- recipe bioconductor-epialleler
Fast, Epiallele-Aware Methylation Caller and Reporter
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/epialleleR.html
- License:
Artistic-2.0
- Recipe:
Epialleles are specific DNA methylation patterns that are mitotically and/or meiotically inherited. This package calls and reports cytosine methylation as well as frequencies of hypermethylated epialleles at the level of genomic regions or individual cytosines in next-generation sequencing data using binary alignment map (BAM) files as an input. Among other things, this package can also extract methylation patterns and assess allele specificity of methylation.
- package bioconductor-epialleler¶
- versions:
1.10.0-0,1.8.1-0,1.8.0-0,1.6.0-0,1.2.0-2,1.2.0-1,1.2.0-0,1.0.0-0- depends bioconductor-biocgenerics:
>=0.48.0,<0.49.0- depends bioconductor-biocgenerics:
>=0.48.1,<0.49.0a0- depends bioconductor-genomeinfodb:
>=1.38.0,<1.39.0- depends bioconductor-genomeinfodb:
>=1.38.1,<1.39.0a0- depends bioconductor-genomicranges:
>=1.54.0,<1.55.0- depends bioconductor-genomicranges:
>=1.54.1,<1.55.0a0- depends bioconductor-rhtslib:
>=2.4.0,<2.5.0- depends bioconductor-rhtslib:
>=2.4.0,<2.5.0a0- depends bioconductor-summarizedexperiment:
>=1.32.0,<1.33.0- depends bioconductor-summarizedexperiment:
>=1.32.0,<1.33.0a0- depends bioconductor-variantannotation:
>=1.48.0,<1.49.0- depends bioconductor-variantannotation:
>=1.48.1,<1.49.0a0- depends bioconductor-zlibbioc:
>=1.48.0,<1.49.0- depends bioconductor-zlibbioc:
>=1.48.0,<1.49.0a0- depends libblas:
>=3.9.0,<4.0a0- depends libgcc-ng:
>=12- depends liblapack:
>=3.9.0,<4.0a0- depends libstdcxx-ng:
>=12- depends r-base:
>=4.3,<4.4.0a0- depends r-bh:
- depends r-data.table:
- depends r-rcpp:
- requirements:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
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-epialleler and update with:: mamba update bioconductor-epialleler
To create a new environment, run:
mamba create --name myenvname bioconductor-epialleler
with
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-epialleler:<tag> (see `bioconductor-epialleler/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-epialleler/README.html)
