recipe bioconductor-igc

An integrated analysis package of Gene expression and Copy number alteration






This package is intended to identify differentially expressed genes driven by Copy Number Alterations from samples with both gene expression and CNA data.

package bioconductor-igc

(downloads) docker_bioconductor-igc



depends r-base:


depends r-data.table:

depends r-plyr:



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-igc

and update with::

   mamba update bioconductor-igc

To create a new environment, run:

mamba create --name myenvname bioconductor-igc

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<tag>

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

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