- 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:
1.28.0-0,1.24.0-0,1.20.0-0,1.18.0-0,1.16.0-1,1.16.0-0,1.12.0-2,1.12.0-1,1.12.0-0,1.28.0-0,1.24.0-0,1.20.0-0,1.18.0-0,1.16.0-1,1.16.0-0,1.12.0-2,1.12.0-1,1.12.0-0,1.10.0-0,1.8.0-1,1.8.0-0,1.6.0-0,1.4.0-0,1.2.0-1,1.2.0-0,1.0.0-0- Depends:
on bioconductor-edger
>=4.8.0,<4.9.0on bioconductor-edger
>=4.8.2,<4.9.0a0on bioconductor-methylmnm
>=1.48.0,<1.49.0on bioconductor-methylmnm
>=1.48.0,<1.49.0a0on libblas
>=3.9.0,<4.0a0on libgcc
>=14on liblapack
>=3.9.0,<4.0a0on liblzma
>=5.8.2,<6.0a0on libzlib
>=1.3.1,<2.0a0on r-base
>=4.5,<4.6.0a0on r-statmod
- Additional platforms:
Installation¶
You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).
Pixi¶
With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:
pixi global install bioconductor-simd
to add into an existing workspace instead, run:
pixi add bioconductor-simd
In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:
pixi workspace channel add conda-forge
pixi workspace channel add bioconda
Conda¶
With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:
conda install bioconductor-simd
Alternatively, to install into a new environment, run:
conda create -n envname bioconductor-simd
with envname being the name of the desired environment.
Container¶
Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:
docker pull quay.io/biocontainers/bioconductor-simd:<tag>
(see bioconductor-simd/tags for valid values for <tag>).
Integrated deployment¶
Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-simd/README.html)