recipe bioconductor-simd

This package provides a inferential analysis method for detecting differentially expressed CpG sites in MeDIP-seq data. It uses statistical framework and EM algorithm, to identify differentially expressed CpG sites. The methods on this package are described in the article ‘Methylation-level Inferences and Detection of Differential Methylation with Medip-seq Data’ by Yan Zhou, Jiadi Zhu, Mingtao Zhao, Baoxue Zhang, Chunfu Jiang and Xiyan Yang (2018, pending publication).

Homepage

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

License

GPL-3

Recipe

/bioconductor-simd/meta.yaml

package bioconductor-simd

(downloads) docker_bioconductor-simd

Versions

1.2.0-0, 1.0.0-0

Depends bioconductor-edger

>=3.26.0,<3.27.0

Depends bioconductor-methylmnm

>=1.22.0,<1.23.0

Depends libgcc-ng

>=7.3.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-statmod

Requirements

Installation

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

conda install bioconductor-simd

and update with:

conda update bioconductor-simd

or use the docker container:

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

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