- recipe bioconductor-epialleler
Fast, Epiallele-Aware Methylation Reporter
- Homepage:
https://bioconductor.org/packages/3.16/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 hypermethylated epiallele frequencies at the level of genomic regions or individual cytosines in next-generation sequencing data using binary alignment map (BAM) files as an input. Other functionality includes extracting methylation patterns, computing the empirical cumulative distribution function for per-read beta values, and testing the significance of the association between epiallele methylation status and base frequencies at particular genomic positions (SNPs).
- package bioconductor-epialleler¶
-
- Versions:
1.6.0-0
,1.2.0-2
,1.2.0-1
,1.2.0-0
,1.0.0-0
- Depends:
bioconductor-biocgenerics
>=0.44.0,<0.45.0
bioconductor-genomeinfodb
>=1.34.0,<1.35.0
bioconductor-genomicranges
>=1.50.0,<1.51.0
bioconductor-rhtslib
>=2.0.0,<2.1.0
bioconductor-summarizedexperiment
>=1.28.0,<1.29.0
bioconductor-variantannotation
>=1.44.0,<1.45.0
bioconductor-zlibbioc
>=1.44.0,<1.45.0
libblas
>=3.9.0,<4.0a0
libcxx
>=14.0.4
liblapack
>=3.9.0,<4.0a0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-epialleler
and update with:
conda update bioconductor-epialleler
or 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)