recipe bioconductor-simd

Statistical Inferences with MeDIP-seq Data (SIMD) to infer the methylation level for each CpG site

Homepage

https://bioconductor.org/packages/3.11/bioc/html/SIMD.html

License

GPL-3

Recipe

/bioconductor-simd/meta.yaml

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).

package bioconductor-simd

Versions

1.6.0-0, 1.4.0-0, 1.2.0-1, 1.2.0-0, 1.0.0-0

Depends

• bioconductor-edger >=3.30.0,<3.31.0

• bioconductor-methylmnm >=1.26.0,<1.27.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=7.3.0

• liblapack >=3.8.0,<3.9.0a0

• r-base >=4.0,<4.1.0a0

• r-statmod

Required By

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>)

Link to this page

Render an 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-simd/README.html)