recipe bioconductor-bnbc

Bandwise normalization and batch correction of Hi-C data






Tools to normalize (several) Hi-C data from replicates.

package bioconductor-bnbc

(downloads) docker_bioconductor-bnbc



depends bioconductor-biocgenerics:


depends bioconductor-ebimage:


depends bioconductor-genomeinfodb:


depends bioconductor-genomicranges:


depends bioconductor-iranges:


depends bioconductor-preprocesscore:


depends bioconductor-rhdf5:


depends bioconductor-s4vectors:


depends bioconductor-summarizedexperiment:


depends bioconductor-sva:


depends libblas:


depends libgcc-ng:


depends liblapack:


depends libstdcxx-ng:


depends r-base:


depends r-data.table:

depends r-matrixstats:

depends r-rcpp:




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-bnbc

and update with::

   mamba update bioconductor-bnbc

To create a new environment, run:

mamba create --name myenvname bioconductor-bnbc

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

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