:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-sbgnview' .. highlight: bash bioconductor-sbgnview ===================== .. conda:recipe:: bioconductor-sbgnview :replaces_section_title: :noindex: \"SBGNview\: Data Analysis\, Integration and Visualization on SBGN Pathways\" :homepage: https://bioconductor.org/packages/3.18/bioc/html/SBGNview.html :license: AGPL-3 :recipe: /`bioconductor-sbgnview `_/`meta.yaml `_ SBGNview is a tool set for pathway based data visalization\, integration and analysis. SBGNview is similar and complementary to the widely used Pathview\, with the following key features\: 1. Pathway definition by the widely adopted Systems Biology Graphical Notation \(SBGN\)\; 2. Supports multiple major pathway databases beyond KEGG \(Reactome\, MetaCyc\, SMPDB\, PANTHER\, METACROP\) and user defined pathways\; 3. Covers 5\,200 reference pathways and over 3\,000 species by default\; 4. Extensive graphics controls\, including glyph and edge attributes\, graph layout and sub\-pathway highlight\; 5. SBGN pathway data manipulation\, processing\, extraction and analysis. .. conda:package:: bioconductor-sbgnview |downloads_bioconductor-sbgnview| |docker_bioconductor-sbgnview| :versions: ``1.16.0-0``,  ``1.14.0-0``,  ``1.12.0-0``,  ``1.8.0-0``,  ``1.6.0-0``,  ``1.4.1-0``,  ``1.4.0-0``,  ``1.2.0-0``,  ``1.0.0-1`` :depends bioconductor-annotationdbi: ``>=1.64.0,<1.65.0`` :depends bioconductor-keggrest: ``>=1.42.0,<1.43.0`` :depends bioconductor-pathview: ``>=1.42.0,<1.43.0`` :depends bioconductor-sbgnview.data: ``>=1.16.0,<1.17.0`` :depends bioconductor-summarizedexperiment: ``>=1.32.0,<1.33.0`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-bookdown: :depends r-httr: :depends r-igraph: :depends r-knitr: :depends r-rdpack: :depends r-rmarkdown: :depends r-rsvg: :depends r-xml2: :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-sbgnview and update with:: mamba update bioconductor-sbgnview To create a new environment, run:: mamba create --name myenvname bioconductor-sbgnview 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-sbgnview: (see `bioconductor-sbgnview/tags`_ for valid values for ````) .. |downloads_bioconductor-sbgnview| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-sbgnview.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-sbgnview :alt: (downloads) .. |docker_bioconductor-sbgnview| image:: https://quay.io/repository/biocontainers/bioconductor-sbgnview/status :target: https://quay.io/repository/biocontainers/bioconductor-sbgnview .. _`bioconductor-sbgnview/tags`: https://quay.io/repository/biocontainers/bioconductor-sbgnview?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-sbgnview/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-sbgnview/README.html