recipe bioconductor-spatialheatmap

spatialHeatmap

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-spatialheatmap/meta.yaml

The spatialHeatmap package offers the primary functionality for visualizing cell-, tissue- and organ-specific assay data in spatial anatomical images. Additionally, it provides extended functionalities for large-scale data mining routines and co-visualizing bulk and single-cell data.

package bioconductor-spatialheatmap

versions:

2.8.0-0,  2.6.0-0,  2.4.0-0,  2.0.0-0,  1.2.0-0,  1.0.0-1,  1.0.0-0

depends bioconductor-edger:

>=4.0.0,<4.1.0

depends bioconductor-genefilter:

>=1.84.0,<1.85.0

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

depends bioconductor-scater:

>=1.30.0,<1.31.0

depends bioconductor-scran:

>=1.30.0,<1.31.0

depends bioconductor-scuttle:

>=1.12.0,<1.13.0

depends bioconductor-singlecellexperiment:

>=1.24.0,<1.25.0

depends bioconductor-summarizedexperiment:

>=1.32.0,<1.33.0

depends r-base:

>=4.3,<4.4.0a0

depends r-data.table:

depends r-dplyr:

depends r-ggplot2:

depends r-ggplotify:

depends r-gplots:

depends r-gridextra:

depends r-grimport:

depends r-igraph:

depends r-matrix:

depends r-reshape2:

depends r-rsvg:

depends r-shiny:

depends r-shinydashboard:

depends r-spscomps:

>=0.3.3.0

depends r-tibble:

depends r-xml2:

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-spatialheatmap

and update with::

   mamba update bioconductor-spatialheatmap

To create a new environment, run:

mamba create --name myenvname bioconductor-spatialheatmap

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-spatialheatmap:<tag>

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

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-spatialheatmap/README.html)