:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-msstatsshiny' .. highlight: bash bioconductor-msstatsshiny ========================= .. conda:recipe:: bioconductor-msstatsshiny :replaces_section_title: :noindex: MSstats GUI for Statistical Anaylsis of Proteomics Experiments :homepage: https://bioconductor.org/packages/3.18/bioc/html/MSstatsShiny.html :license: Artistic-2.0 :recipe: /`bioconductor-msstatsshiny `_/`meta.yaml `_ MSstatsShiny is an R\-Shiny graphical user interface \(GUI\) integrated with the R packages MSstats\, MSstatsTMT\, and MSstatsPTM. It provides a point and click end\-to\-end analysis pipeline applicable to a wide variety of experimental designs. These include data\-dependedent acquisitions \(DDA\) which are label\-free or tandem mass tag \(TMT\)\-based\, as well as DIA\, SRM\, and PRM acquisitions and those targeting post\-translational modifications \(PTMs\). The application automatically saves users selections and builds an R script that recreates their analysis\, supporting reproducible data analysis. .. conda:package:: bioconductor-msstatsshiny |downloads_bioconductor-msstatsshiny| |docker_bioconductor-msstatsshiny| :versions: ``1.4.1-0``,  ``1.2.3-0``,  ``1.0.0-0`` :depends bioconductor-marray: ``>=1.80.0,<1.81.0`` :depends bioconductor-msstats: ``>=4.10.0,<4.11.0`` :depends bioconductor-msstatsconvert: ``>=1.12.0,<1.13.0`` :depends bioconductor-msstatsptm: ``>=2.4.0,<2.5.0`` :depends bioconductor-msstatstmt: ``>=2.10.0,<2.11.0`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-data.table: :depends r-dplyr: :depends r-dt: :depends r-ggplot2: :depends r-ggrepel: :depends r-gplots: :depends r-hmisc: :depends r-htmltools: :depends r-readxl: :depends r-shiny: :depends r-shinybs: :depends r-shinybusy: :depends r-shinyjs: :depends r-tidyr: :depends r-uuid: :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-msstatsshiny and update with:: mamba update bioconductor-msstatsshiny To create a new environment, run:: mamba create --name myenvname bioconductor-msstatsshiny 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-msstatsshiny: (see `bioconductor-msstatsshiny/tags`_ for valid values for ````) .. |downloads_bioconductor-msstatsshiny| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-msstatsshiny.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-msstatsshiny :alt: (downloads) .. |docker_bioconductor-msstatsshiny| image:: https://quay.io/repository/biocontainers/bioconductor-msstatsshiny/status :target: https://quay.io/repository/biocontainers/bioconductor-msstatsshiny .. _`bioconductor-msstatsshiny/tags`: https://quay.io/repository/biocontainers/bioconductor-msstatsshiny?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-msstatsshiny/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-msstatsshiny/README.html