recipe bioconductor-seqcna

Copy number analysis of high-throughput sequencing cancer data






Copy number analysis of high-throughput sequencing cancer data with fast summarization, extensive filtering and improved normalization

package bioconductor-seqcna

(downloads) docker_bioconductor-seqcna



depends bioconductor-glad:


depends bioconductor-glad:


depends bioconductor-seqcna.annot:


depends bioconductor-seqcna.annot:


depends libblas:


depends libgcc-ng:


depends liblapack:


depends libstdcxx-ng:


depends r-adehabitatlt:


depends r-base:


depends r-dosnow:


depends samtools:




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-seqcna

and update with::

   mamba update bioconductor-seqcna

To create a new environment, run:

mamba create --name myenvname bioconductor-seqcna

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

Download stats