recipe bioconductor-remp

Repetitive Element Methylation Prediction

Homepage:

https://bioconductor.org/packages/3.14/bioc/html/REMP.html

License:

GPL-3

Recipe:

/bioconductor-remp/meta.yaml

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.

package bioconductor-remp

Versions:

1.18.0-0,  1.16.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-0,  1.8.1-1

Depends:

• bioconductor-annotationhub >=3.2.0,<3.3.0

• bioconductor-biocgenerics >=0.40.0,<0.41.0

• bioconductor-biocparallel >=1.28.0,<1.29.0

• bioconductor-biostrings >=2.62.0,<2.63.0

• bioconductor-bsgenome >=1.62.0,<1.63.0

• bioconductor-genomeinfodb >=1.30.0,<1.31.0

• bioconductor-genomicranges >=1.46.0,<1.47.0

• bioconductor-impute >=1.68.0,<1.69.0

• bioconductor-iranges >=2.28.0,<2.29.0

• bioconductor-minfi >=1.40.0,<1.41.0

• bioconductor-org.hs.eg.db >=3.14.0,<3.15.0

• bioconductor-rtracklayer >=1.54.0,<1.55.0

• bioconductor-s4vectors >=0.32.0,<0.33.0

• bioconductor-summarizedexperiment >=1.24.0,<1.25.0

• r-base >=4.1,<4.2.0a0

• r-caret

• r-doparallel

• r-foreach

• r-iterators

• r-kernlab

• r-ranger

• r-readr

• r-settings

Required By:

Installation

With an activated Bioconda channel (see 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>)

Download stats

Link to this page

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