recipe bioconductor-snapcgh

Segmentation, normalisation and processing of aCGH data






Methods for segmenting, normalising and processing aCGH data; including plotting functions for visualising raw and segmented data for individual and multiple arrays.

package bioconductor-snapcgh

(downloads) docker_bioconductor-snapcgh



depends bioconductor-acgh:


depends bioconductor-dnacopy:


depends bioconductor-glad:


depends bioconductor-limma:


depends bioconductor-tilingarray:


depends libblas:


depends libgcc-ng:


depends liblapack:


depends r-base:


depends r-cluster:



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-snapcgh

and update with::

   mamba update bioconductor-snapcgh

To create a new environment, run:

mamba create --name myenvname bioconductor-snapcgh

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-snapcgh/tags`_ for valid values for ``<tag>``)

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