recipe bioconductor-ccplotr

Plots For Visualising Cell-Cell Interactions

Homepage:

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

License:

MIT + file LICENSE

Recipe:

/bioconductor-ccplotr/meta.yaml

CCPlotR is an R package for visualising results from tools that predict cell-cell interactions from single-cell RNA-seq data. These plots are generic and can be used to visualise results from multiple tools such as Liana, CellPhoneDB, NATMI etc.

package bioconductor-ccplotr

versions:

1.0.0-0

depends bioconductor-complexheatmap:

>=2.18.0,<2.19.0

depends r-base:

>=4.3,<4.4.0a0

depends r-circlize:

depends r-dplyr:

depends r-forcats:

depends r-ggbump:

depends r-ggh4x:

depends r-ggplot2:

depends r-ggraph:

depends r-ggtext:

depends r-igraph:

depends r-patchwork:

depends r-plyr:

depends r-rcolorbrewer:

depends r-scales:

depends r-scatterpie:

depends r-stringr:

depends r-tibble:

depends r-tidyr:

depends r-viridis:

requirements:

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-ccplotr

and update with::

   mamba update bioconductor-ccplotr

To create a new environment, run:

mamba create --name myenvname bioconductor-ccplotr

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-ccplotr:<tag>

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

Download stats

Link to this page

Render an badge with the following MarkDown:

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