recipe bioconductor-remp

Machine learning-based tools to predict DNA methylation of locus-specific repetitive elements (RE) by learning surrounding genetic and epigenetic information. These tools provide genomewide and single-base resolution of DNA methylation prediction on RE that are difficult to measure using array-based or sequencing-based platforms, which enables epigenome-wide association study (EWAS) and differentially methylated region (DMR) analysis on RE.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/REMP.html

License

GPL-3

Recipe

/bioconductor-remp/meta.yaml

package bioconductor-remp

(downloads) docker_bioconductor-remp

Versions

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-remp

and update with:

conda update bioconductor-remp

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-remp:<tag>

(see bioconductor-remp/tags for valid values for <tag>)

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-remp/README.html)