recipe bioconductor-cghnormaliter

Normalization of array CGH data with imbalanced aberrations.



GPL (>= 3)




biotools: cghnormaliter, doi: 10.1186/1471-2164-10-401

Normalization and centralization of array comparative genomic hybridization (aCGH) data. The algorithm uses an iterative procedure that effectively eliminates the influence of imbalanced copy numbers. This leads to a more reliable assessment of copy number alterations (CNAs).

package bioconductor-cghnormaliter

(downloads) docker_bioconductor-cghnormaliter



depends bioconductor-biobase:


depends bioconductor-cghbase:


depends bioconductor-cghcall:


depends r-base:




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-cghnormaliter

and update with::

   mamba update bioconductor-cghnormaliter

To create a new environment, run:

mamba create --name myenvname bioconductor-cghnormaliter

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

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