:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-spatialheatmap' .. highlight: bash bioconductor-spatialheatmap =========================== .. conda:recipe:: bioconductor-spatialheatmap :replaces_section_title: :noindex: 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. .. conda:package:: bioconductor-spatialheatmap |downloads_bioconductor-spatialheatmap| |docker_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: .. rubric:: Installation You need a conda-compatible package manager (currently either `micromamba `_, `mamba `_, or `conda `_) and the Bioconda channel already activated (see :ref:`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: (see `bioconductor-spatialheatmap/tags`_ for valid values for ````) .. |downloads_bioconductor-spatialheatmap| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-spatialheatmap.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-spatialheatmap :alt: (downloads) .. |docker_bioconductor-spatialheatmap| image:: https://quay.io/repository/biocontainers/bioconductor-spatialheatmap/status :target: https://quay.io/repository/biocontainers/bioconductor-spatialheatmap .. _`bioconductor-spatialheatmap/tags`: https://quay.io/repository/biocontainers/bioconductor-spatialheatmap?tab=tags .. raw:: html Download stats ----------------- .. raw:: html :file: ../../templates/package_dashboard.html Link to this page ----------------- Render an |install-with-bioconda| 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) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/bioconductor-spatialheatmap/README.html