recipe bioconductor-methylmix

MethylMix: Identifying methylation driven cancer genes

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/MethylMix.html

License:

GPL-2

Recipe:

/bioconductor-methylmix/meta.yaml

MethylMix is an algorithm implemented to identify hyper and hypomethylated genes for a disease. MethylMix is based on a beta mixture model to identify methylation states and compares them with the normal DNA methylation state. MethylMix uses a novel statistic, the Differential Methylation value or DM-value defined as the difference of a methylation state with the normal methylation state. Finally, matched gene expression data is used to identify, besides differential, functional methylation states by focusing on methylation changes that effect gene expression. References: Gevaert 0. MethylMix: an R package for identifying DNA methylation-driven genes. Bioinformatics (Oxford, England). 2015;31(11):1839-41. doi:10.1093/bioinformatics/btv020. Gevaert O, Tibshirani R, Plevritis SK. Pancancer analysis of DNA methylation-driven genes using MethylMix. Genome Biology. 2015;16(1):17. doi:10.1186/s13059-014-0579-8.

package bioconductor-methylmix

(downloads) docker_bioconductor-methylmix

versions:
2.36.0-0,  2.32.0-0,  2.30.0-0,  2.28.0-0,  2.24.0-0,  2.22.0-0,  2.20.0-1,  2.20.0-0,  2.18.0-0, 

2.36.0-0,  2.32.0-0,  2.30.0-0,  2.28.0-0,  2.24.0-0,  2.22.0-0,  2.20.0-1,  2.20.0-0,  2.18.0-0,  2.16.0-0,  2.14.0-1,  2.14.0-0,  2.12.0-0

depends bioconductor-impute:

>=1.80.0,<1.81.0

depends bioconductor-limma:

>=3.62.0,<3.63.0

depends r-base:

>=4.4,<4.5.0a0

depends r-data.table:

depends r-digest:

depends r-foreach:

depends r-ggplot2:

depends r-r.matlab:

depends r-rcolorbrewer:

depends r-rcurl:

depends r-rpmm:

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-methylmix

and update with::

   mamba update bioconductor-methylmix

To create a new environment, run:

mamba create --name myenvname bioconductor-methylmix

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

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

(see `bioconductor-methylmix/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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