:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-asurat' .. highlight: bash bioconductor-asurat =================== .. conda:recipe:: bioconductor-asurat :replaces_section_title: :noindex: Functional annotation\-driven unsupervised clustering for single\-cell data :homepage: https://bioconductor.org/packages/3.18/bioc/html/ASURAT.html :license: GPL-3 + file LICENSE :recipe: /`bioconductor-asurat `_/`meta.yaml `_ ASURAT is a software for single\-cell data analysis. Using ASURAT\, one can simultaneously perform unsupervised clustering and biological interpretation in terms of cell type\, disease\, biological process\, and signaling pathway activity. Inputting a single\-cell RNA\-seq data and knowledge\-based databases\, such as Cell Ontology\, Gene Ontology\, KEGG\, etc.\, ASURAT transforms gene expression tables into original multivariate tables\, termed sign\-by\-sample matrices \(SSMs\). .. conda:package:: bioconductor-asurat |downloads_bioconductor-asurat| |docker_bioconductor-asurat| :versions: ``1.6.0-0``,  ``1.4.0-1``,  ``1.4.0-0``,  ``1.2.0-1``,  ``1.2.0-0`` :depends bioconductor-complexheatmap: ``>=2.18.0,<2.19.0`` :depends bioconductor-complexheatmap: ``>=2.18.0,<2.19.0a0`` :depends bioconductor-s4vectors: ``>=0.40.0,<0.41.0`` :depends bioconductor-s4vectors: ``>=0.40.2,<0.41.0a0`` :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-circlize: :depends r-cluster: :depends r-plot3d: :depends r-rcpp: ``>=1.0.7`` :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-asurat and update with:: mamba update bioconductor-asurat To create a new environment, run:: mamba create --name myenvname bioconductor-asurat 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-asurat: (see `bioconductor-asurat/tags`_ for valid values for ````) .. |downloads_bioconductor-asurat| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-asurat.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-asurat :alt: (downloads) .. |docker_bioconductor-asurat| image:: https://quay.io/repository/biocontainers/bioconductor-asurat/status :target: https://quay.io/repository/biocontainers/bioconductor-asurat .. _`bioconductor-asurat/tags`: https://quay.io/repository/biocontainers/bioconductor-asurat?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-asurat/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-asurat/README.html