recipe bioconductor-heatmaps

Flexible Heatmaps for Functional Genomics and Sequence Features






This package provides functions for plotting heatmaps of genome-wide data across genomic intervals, such as ChIP-seq signals at peaks or across promoters. Many functions are also provided for investigating sequence features.

package bioconductor-heatmaps

(downloads) docker_bioconductor-heatmaps



depends bioconductor-biocgenerics:


depends bioconductor-biostrings:


depends bioconductor-ebimage:


depends bioconductor-genomeinfodb:


depends bioconductor-genomicranges:


depends bioconductor-iranges:


depends r-base:


depends r-kernsmooth:

depends r-matrix:

depends r-plotrix:

depends r-rcolorbrewer:



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-heatmaps

and update with::

   mamba update bioconductor-heatmaps

To create a new environment, run:

mamba create --name myenvname bioconductor-heatmaps

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

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