:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-scdotplot' .. highlight: bash bioconductor-scdotplot ====================== .. conda:recipe:: bioconductor-scdotplot :replaces_section_title: :noindex: Cluster a Single\-cell RNA\-seq Dot Plot :homepage: https://bioconductor.org/packages/3.20/bioc/html/scDotPlot.html :license: Artistic-2.0 :recipe: /`bioconductor-scdotplot `_/`meta.yaml `_ Dot plots of single\-cell RNA\-seq data allow for an examination of the relationships between cell groupings \(e.g. clusters\) and marker gene expression. The scDotPlot package offers a unified approach to perform a hierarchical clustering analysis and add annotations to the columns and\/or rows of a scRNA\-seq dot plot. It works with SingleCellExperiment and Seurat objects as well as data frames. .. conda:package:: bioconductor-scdotplot |downloads_bioconductor-scdotplot| |docker_bioconductor-scdotplot| :versions: ``1.0.0-0`` :depends bioconductor-biocgenerics: ``>=0.52.0,<0.53.0`` :depends bioconductor-ggtree: ``>=3.14.0,<3.15.0`` :depends bioconductor-scater: ``>=1.34.0,<1.35.0`` :depends bioconductor-singlecellexperiment: ``>=1.28.0,<1.29.0`` :depends r-aplot: :depends r-base: ``>=4.4,<4.5.0a0`` :depends r-cli: :depends r-dplyr: :depends r-ggplot2: :depends r-ggsci: :depends r-magrittr: :depends r-purrr: :depends r-rlang: :depends r-scales: :depends r-seurat: :depends r-stringr: :depends r-tibble: :depends r-tidyr: :requirements: :additional platforms: .. 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-scdotplot and update with:: mamba update bioconductor-scdotplot To create a new environment, run:: mamba create --name myenvname bioconductor-scdotplot 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-scdotplot: (see `bioconductor-scdotplot/tags`_ for valid values for ````) .. |downloads_bioconductor-scdotplot| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-scdotplot.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-scdotplot :alt: (downloads) .. |docker_bioconductor-scdotplot| image:: https://quay.io/repository/biocontainers/bioconductor-scdotplot/status :target: https://quay.io/repository/biocontainers/bioconductor-scdotplot .. _`bioconductor-scdotplot/tags`: https://quay.io/repository/biocontainers/bioconductor-scdotplot?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-scdotplot/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-scdotplot/README.html