recipe bioconductor-epialleler

Fast, Epiallele-Aware Methylation Reporter

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/epialleleR.html

License:

Artistic-2.0

Recipe:

/bioconductor-epialleler/meta.yaml

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

• r-bh

• r-data.table

• r-rcpp

• r-stringi

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

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