:orphan:  .. only available via index, not via toctree

.. title:: Package Recipe 'bioconductor-ggsc'
.. highlight: bash

bioconductor-ggsc
=================

.. conda:recipe:: bioconductor-ggsc
   :replaces_section_title:
   :noindex:

   Visualizing Single Cell and Spatial Transcriptomics

   :homepage: https://bioconductor.org/packages/3.20/bioc/html/ggsc.html
   :license: Artistic-2.0
   :recipe: /`bioconductor-ggsc <https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-ggsc>`_/`meta.yaml <https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-ggsc/meta.yaml>`_

   Useful functions to visualize single cell and spatial data. It supports visualizing \'Seurat\'\, \'SingleCellExperiment\' and \'SpatialExperiment\' objects through grammar of graphics syntax implemented in \'ggplot2\'.


.. conda:package:: bioconductor-ggsc

   |downloads_bioconductor-ggsc| |docker_bioconductor-ggsc|

   :versions:
      
      

      ``1.4.0-0``,  ``1.0.2-0``

      

   
   :depends bioconductor-singlecellexperiment: ``>=1.28.0,<1.29.0``
   :depends bioconductor-singlecellexperiment: ``>=1.28.0,<1.29.0a0``
   :depends bioconductor-summarizedexperiment: ``>=1.36.0,<1.37.0``
   :depends bioconductor-summarizedexperiment: ``>=1.36.0,<1.37.0a0``
   :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-cli: 
   :depends r-dplyr: 
   :depends r-ggfun: ``>=0.1.5``
   :depends r-ggplot2: 
   :depends r-rcolorbrewer: 
   :depends r-rcpp: 
   :depends r-rcpparmadillo: 
   :depends r-rcppparallel: 
   :depends r-rlang: 
   :depends r-scales: 
   :depends r-scattermore: 
   :depends r-seurat: 
   :depends r-tibble: 
   :depends r-tidydr: 
   :depends r-tidyr: 
   :depends r-yulab.utils: 
   :requirements:

   :additional platforms:
      

   .. rubric:: Installation

  You need a conda-compatible package manager
  (currently either `micromamba <https://mamba.readthedocs.io>`_, `mamba <https://mamba.readthedocs.io>`_, or `conda <https://docs.conda.io/projects/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 <https://mamba.readthedocs.io>`_ 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-ggsc

   and update with::

      mamba update bioconductor-ggsc

  To create a new environment, run::

      mamba create --name myenvname bioconductor-ggsc

  with ``myenvname`` being a reasonable name for the environment
  (see e.g. the `mamba docs <https://mamba.readthedocs.io>`_ for details and further options).

  Alternatively, use the docker container::

      docker pull quay.io/biocontainers/bioconductor-ggsc:<tag>

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


.. |downloads_bioconductor-ggsc| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-ggsc.svg?style=flat
   :target: https://anaconda.org/bioconda/bioconductor-ggsc
   :alt:   (downloads)
.. |docker_bioconductor-ggsc| image:: https://quay.io/repository/biocontainers/bioconductor-ggsc/status
   :target: https://quay.io/repository/biocontainers/bioconductor-ggsc
.. _`bioconductor-ggsc/tags`: https://quay.io/repository/biocontainers/bioconductor-ggsc?tab=tags


.. raw:: html

    <script>
        var package = "bioconductor-ggsc";
        var versions = ["1.4.0","1.0.2"];
    </script>






Download stats
-----------------

.. raw:: html
    :file: ../../templates/package_dashboard.html

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