:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-cellscape' .. highlight: bash bioconductor-cellscape ====================== .. conda:recipe:: bioconductor-cellscape :replaces_section_title: :noindex: Explores single cell copy number profiles in the context of a single cell tree :homepage: https://bioconductor.org/packages/3.17/bioc/html/cellscape.html :license: GPL-3 :recipe: /`bioconductor-cellscape `_/`meta.yaml `_ CellScape facilitates interactive browsing of single cell clonal evolution datasets. The tool requires two main inputs\: \(i\) the genomic content of each single cell in the form of either copy number segments or targeted mutation values\, and \(ii\) a single cell phylogeny. Phylogenetic formats can vary from dendrogram\-like phylogenies with leaf nodes to evolutionary model\-derived phylogenies with observed or latent internal nodes. The CellScape phylogeny is flexibly input as a table of source\-target edges to support arbitrary representations\, where each node may or may not have associated genomic data. The output of CellScape is an interactive interface displaying a single cell phylogeny and a cell\-by\-locus genomic heatmap representing the mutation status in each cell for each locus. .. conda:package:: bioconductor-cellscape |downloads_bioconductor-cellscape| |docker_bioconductor-cellscape| :versions: .. raw:: html
1.24.0-01.22.0-01.18.0-01.16.0-01.14.0-11.14.0-01.12.0-01.10.0-01.8.0-1 ``1.24.0-0``,  ``1.22.0-0``,  ``1.18.0-0``,  ``1.16.0-0``,  ``1.14.0-1``,  ``1.14.0-0``,  ``1.12.0-0``,  ``1.10.0-0``,  ``1.8.0-1``,  ``1.8.0-0``,  ``1.6.0-0`` .. raw:: html
:depends r-base: ``>=4.3,<4.4.0a0`` :depends r-dplyr: ``>=0.4.3`` :depends r-gtools: ``>=3.5.0`` :depends r-htmlwidgets: ``>=0.5`` :depends r-jsonlite: ``>=0.9.19`` :depends r-plyr: ``>=1.8.3`` :depends r-reshape2: ``>=1.4.1`` :depends r-stringr: ``>=1.0.0`` :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-cellscape and update with:: mamba update bioconductor-cellscape To create a new environment, run:: mamba create --name myenvname bioconductor-cellscape 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-cellscape: (see `bioconductor-cellscape/tags`_ for valid values for ````) .. |downloads_bioconductor-cellscape| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-cellscape.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-cellscape :alt: (downloads) .. |docker_bioconductor-cellscape| image:: https://quay.io/repository/biocontainers/bioconductor-cellscape/status :target: https://quay.io/repository/biocontainers/bioconductor-cellscape .. _`bioconductor-cellscape/tags`: https://quay.io/repository/biocontainers/bioconductor-cellscape?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-cellscape/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-cellscape/README.html