- recipe bioconductor-remp
Repetitive Element Methylation Prediction
- Homepage:
- License:
GPL-3
- Recipe:
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
- 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¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-remp/README.html)