recipe bioconductor-aracne.networks

ARACNe-inferred gene networks from TCGA tumor datasets

Homepage:

https://bioconductor.org/packages/3.18/data/experiment/html/aracne.networks.html

License:

file LICENSE

Recipe:

/bioconductor-aracne.networks/meta.yaml

This package contains ARACNe-inferred networks from TCGA tumor datasets. It also contains a function to export them into plain-text format.

package bioconductor-aracne.networks

(downloads) docker_bioconductor-aracne.networks

versions:
1.28.0-01.26.0-01.24.0-01.20.0-11.20.0-01.18.0-01.16.0-11.16.0-01.15.0-0

1.28.0-01.26.0-01.24.0-01.20.0-11.20.0-01.18.0-01.16.0-11.16.0-01.15.0-01.14.0-01.12.0-01.10.0-11.8.0-0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-viper:

>=1.36.0,<1.37.0

depends curl:

depends r-base:

>=4.3,<4.4.0a0

requirements:

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-aracne.networks

and update with::

   mamba update bioconductor-aracne.networks

To create a new environment, run:

mamba create --name myenvname bioconductor-aracne.networks

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-aracne.networks:<tag>

(see `bioconductor-aracne.networks/tags`_ for valid values for ``<tag>``)

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