:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-subcellbarcode' .. highlight: bash bioconductor-subcellbarcode =========================== .. conda:recipe:: bioconductor-subcellbarcode :replaces_section_title: :noindex: SubCellBarCode\: Integrated workflow for robust mapping and visualizing whole human spatial proteome :homepage: https://bioconductor.org/packages/3.18/bioc/html/SubCellBarCode.html :license: GPL-2 :recipe: /`bioconductor-subcellbarcode `_/`meta.yaml `_ Mass\-Spectrometry based spatial proteomics have enabled the proteome\-wide mapping of protein subcellular localization \(Orre et al. 2019\, Molecular Cell\). SubCellBarCode R package robustly classifies proteins into corresponding subcellular localization. .. conda:package:: bioconductor-subcellbarcode |downloads_bioconductor-subcellbarcode| |docker_bioconductor-subcellbarcode| :versions: .. raw:: html
1.18.0-01.16.0-01.14.0-01.10.0-01.8.0-01.6.0-11.6.0-01.4.0-01.2.0-0 ``1.18.0-0``,  ``1.16.0-0``,  ``1.14.0-0``,  ``1.10.0-0``,  ``1.8.0-0``,  ``1.6.0-1``,  ``1.6.0-0``,  ``1.4.0-0``,  ``1.2.0-0``,  ``1.0.0-1`` .. raw:: html
:depends bioconductor-annotationdbi: ``>=1.64.0,<1.65.0`` :depends bioconductor-org.hs.eg.db: ``>=3.18.0,<3.19.0`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-caret: :depends r-e1071: :depends r-ggplot2: :depends r-ggrepel: :depends r-gridextra: :depends r-networkd3: :depends r-rtsne: :depends r-scatterplot3d: :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-subcellbarcode and update with:: mamba update bioconductor-subcellbarcode To create a new environment, run:: mamba create --name myenvname bioconductor-subcellbarcode 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-subcellbarcode: (see `bioconductor-subcellbarcode/tags`_ for valid values for ````) .. |downloads_bioconductor-subcellbarcode| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-subcellbarcode.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-subcellbarcode :alt: (downloads) .. |docker_bioconductor-subcellbarcode| image:: https://quay.io/repository/biocontainers/bioconductor-subcellbarcode/status :target: https://quay.io/repository/biocontainers/bioconductor-subcellbarcode .. _`bioconductor-subcellbarcode/tags`: https://quay.io/repository/biocontainers/bioconductor-subcellbarcode?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-subcellbarcode/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-subcellbarcode/README.html