:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-chromscape' .. highlight: bash bioconductor-chromscape ======================= .. conda:recipe:: bioconductor-chromscape :replaces_section_title: :noindex: Analysis of single\-cell epigenomics datasets with a Shiny App :homepage: https://bioconductor.org/packages/3.18/bioc/html/ChromSCape.html :license: GPL-3 :recipe: /`bioconductor-chromscape `_/`meta.yaml `_ ChromSCape \- Chromatin landscape profiling for Single Cells \- is a ready\-to\-launch user\-friendly Shiny Application for the analysis of single\-cell epigenomics datasets \(scChIP\-seq\, scATAC\-seq\, scCUT\&Tag\, ...\) from aligned data to differential analysis \& gene set enrichment analysis. It is highly interactive\, enables users to save their analysis and covers a wide range of analytical steps\: QC\, preprocessing\, filtering\, batch correction\, dimensionality reduction\, vizualisation\, clustering\, differential analysis and gene set analysis. .. conda:package:: bioconductor-chromscape |downloads_bioconductor-chromscape| |docker_bioconductor-chromscape| :versions: .. raw:: html
1.12.0-01.10.0-01.8.0-11.8.0-01.4.0-21.4.0-11.4.0-01.2.0-01.0.0-2 ``1.12.0-0``,  ``1.10.0-0``,  ``1.8.0-1``,  ``1.8.0-0``,  ``1.4.0-2``,  ``1.4.0-1``,  ``1.4.0-0``,  ``1.2.0-0``,  ``1.0.0-2``,  ``1.0.0-1`` .. raw:: html
:depends bioconductor-batchelor: ``>=1.18.0,<1.19.0`` :depends bioconductor-batchelor: ``>=1.18.0,<1.19.0a0`` :depends bioconductor-biocparallel: ``>=1.36.0,<1.37.0`` :depends bioconductor-biocparallel: ``>=1.36.0,<1.37.0a0`` :depends bioconductor-consensusclusterplus: ``>=1.66.0,<1.67.0`` :depends bioconductor-consensusclusterplus: ``>=1.66.0,<1.67.0a0`` :depends bioconductor-delayedarray: ``>=0.28.0,<0.29.0`` :depends bioconductor-delayedarray: ``>=0.28.0,<0.29.0a0`` :depends bioconductor-edger: ``>=4.0.0,<4.1.0`` :depends bioconductor-edger: ``>=4.0.2,<4.1.0a0`` :depends bioconductor-genomicranges: ``>=1.54.0,<1.55.0`` :depends bioconductor-genomicranges: ``>=1.54.1,<1.55.0a0`` :depends bioconductor-iranges: ``>=2.36.0,<2.37.0`` :depends bioconductor-iranges: ``>=2.36.0,<2.37.0a0`` :depends bioconductor-rsamtools: ``>=2.18.0,<2.19.0`` :depends bioconductor-rsamtools: ``>=2.18.0,<2.19.0a0`` :depends bioconductor-rtracklayer: ``>=1.62.0,<1.63.0`` :depends bioconductor-rtracklayer: ``>=1.62.0,<1.63.0a0`` :depends bioconductor-s4vectors: ``>=0.40.0,<0.41.0`` :depends bioconductor-s4vectors: ``>=0.40.2,<0.41.0a0`` :depends bioconductor-scater: ``>=1.30.0,<1.31.0`` :depends bioconductor-scater: ``>=1.30.1,<1.31.0a0`` :depends bioconductor-scran: ``>=1.30.0,<1.31.0`` :depends bioconductor-scran: ``>=1.30.0,<1.31.0a0`` :depends bioconductor-singlecellexperiment: ``>=1.24.0,<1.25.0`` :depends bioconductor-singlecellexperiment: ``>=1.24.0,<1.25.0a0`` :depends bioconductor-summarizedexperiment: ``>=1.32.0,<1.33.0`` :depends bioconductor-summarizedexperiment: ``>=1.32.0,<1.33.0a0`` :depends libblas: ``>=3.9.0,<4.0a0`` :depends libgcc-ng: ``>=12`` :depends liblapack: ``>=3.9.0,<4.0a0`` :depends libstdcxx-ng: ``>=12`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-colorramps: :depends r-colourpicker: :depends r-coop: :depends r-dplyr: :depends r-dt: :depends r-forcats: :depends r-fs: :depends r-gggenes: :depends r-ggplot2: :depends r-ggrepel: :depends r-gridextra: :depends r-irlba: :depends r-jsonlite: :depends r-kableextra: :depends r-matrix: :depends r-matrixtests: :depends r-msigdbr: :depends r-plotly: :depends r-qs: :depends r-qualv: :depends r-rcpp: :depends r-rlist: :depends r-rtsne: :depends r-shiny: :depends r-shinycssloaders: :depends r-shinydashboard: :depends r-shinydashboardplus: :depends r-shinyfiles: :depends r-shinyhelper: :depends r-shinyjs: :depends r-shinywidgets: :depends r-stringdist: :depends r-stringr: :depends r-tibble: :depends r-tidyr: :depends r-umap: :depends r-viridis: :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-chromscape and update with:: mamba update bioconductor-chromscape To create a new environment, run:: mamba create --name myenvname bioconductor-chromscape 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-chromscape: (see `bioconductor-chromscape/tags`_ for valid values for ````) .. |downloads_bioconductor-chromscape| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-chromscape.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-chromscape :alt: (downloads) .. |docker_bioconductor-chromscape| image:: https://quay.io/repository/biocontainers/bioconductor-chromscape/status :target: https://quay.io/repository/biocontainers/bioconductor-chromscape .. _`bioconductor-chromscape/tags`: https://quay.io/repository/biocontainers/bioconductor-chromscape?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-chromscape/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-chromscape/README.html