recipe bioconductor-enrichedheatmap

Making Enriched Heatmaps

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/EnrichedHeatmap.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-enrichedheatmap/meta.yaml

Enriched heatmap is a special type of heatmap which visualizes the enrichment of genomic signals on specific target regions. Here we implement enriched heatmap by ComplexHeatmap package. Since this type of heatmap is just a normal heatmap but with some special settings, with the functionality of ComplexHeatmap, it would be much easier to customize the heatmap as well as concatenating to a list of heatmaps to show correspondance between different data sources.

package bioconductor-enrichedheatmap

versions:

1.36.0-0,  1.32.0-0,  1.30.0-0,  1.27.2-1,  1.27.2-0,  1.24.0-2,  1.24.0-1,  1.24.0-0,  1.22.0-0, 

1.36.0-0,  1.32.0-0,  1.30.0-0,  1.27.2-1,  1.27.2-0,  1.24.0-2,  1.24.0-1,  1.24.0-0,  1.22.0-0,  1.20.0-1,  1.20.0-0,  1.18.2-0,  1.16.0-0,  1.14.0-1,  1.12.0-0

depends bioconductor-complexheatmap:

>=2.22.0,<2.23.0

depends bioconductor-complexheatmap:

>=2.22.0,<2.23.0a0

depends bioconductor-genomicranges:

>=1.58.0,<1.59.0

depends bioconductor-genomicranges:

>=1.58.0,<1.59.0a0

depends bioconductor-iranges:

>=2.40.0,<2.41.0

depends bioconductor-iranges:

>=2.40.0,<2.41.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=13

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx:

>=13

depends r-base:

>=4.4,<4.5.0a0

depends r-circlize:

>=0.4.5

depends r-getoptlong:

depends r-locfit:

depends r-matrixstats:

depends r-rcpp:

requirements:

additional platforms:

Installation

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-enrichedheatmap

and update with::

   mamba update bioconductor-enrichedheatmap

To create a new environment, run:

mamba create --name myenvname bioconductor-enrichedheatmap

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 quay.io/biocontainers/bioconductor-enrichedheatmap:<tag>

(see `bioconductor-enrichedheatmap/tags`_ for valid values for ``<tag>``)

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