- recipe bioconductor-simd
Statistical Inferences with MeDIP-seq Data (SIMD) to infer the methylation level for each CpG site
- Homepage
- License
GPL-3
- Recipe
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
1.12.0-1
,1.12.0-0
,1.10.0-0
,1.8.0-1
,1.8.0-0
,1.6.0-0
,1.4.0-0
,1.2.0-1
,1.2.0-0
,1.12.0-1
,1.12.0-0
,1.10.0-0
,1.8.0-1
,1.8.0-0
,1.6.0-0
,1.4.0-0
,1.2.0-1
,1.2.0-0
,1.0.0-0
- Depends
bioconductor-edger
>=3.36.0,<3.37.0
bioconductor-methylmnm
>=1.32.0,<1.33.0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=10.3.0
liblapack
>=3.8.0,<4.0a0
r-base
>=4.1,<4.2.0a0
- 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>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-simd/README.html)