:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-metabodynamics' .. highlight: bash bioconductor-metabodynamics =========================== .. conda:recipe:: bioconductor-metabodynamics :replaces_section_title: :noindex: Bayesian analysis of longitudinal metabolomics data :homepage: https://bioconductor.org/packages/3.22/bioc/html/MetaboDynamics.html :license: GPL (>= 3) :recipe: /`bioconductor-metabodynamics `_/`meta.yaml `_ MetaboDynamics is an R\-package that provides a framework of probabilistic models to analyze longitudinal metabolomics data. It enables robust estimation of mean concentrations despite varying spread between timepoints and reports differences between timepoints as well as metabolite specific dynamics profiles that can be used for identifying \"dynamics clusters\" of metabolites of similar dynamics. Provides probabilistic over\-representation analysis of KEGG functional modules and pathways as well as comparison between clusters of different experimental conditions. .. conda:package:: bioconductor-metabodynamics |downloads_bioconductor-metabodynamics| |docker_bioconductor-metabodynamics| :versions: ``2.0.2-0`` :depends on bioconductor-ggtree: ``>=4.0.0,<4.1.0`` :depends on bioconductor-ggtree: ``>=4.0.4,<4.1.0a0`` :depends on bioconductor-keggrest: ``>=1.50.0,<1.51.0`` :depends on bioconductor-keggrest: ``>=1.50.0,<1.51.0a0`` :depends on bioconductor-s4vectors: ``>=0.48.0,<0.49.0`` :depends on bioconductor-s4vectors: ``>=0.48.0,<0.49.0a0`` :depends on bioconductor-summarizedexperiment: ``>=1.40.0,<1.41.0`` :depends on bioconductor-summarizedexperiment: ``>=1.40.0,<1.41.0a0`` :depends on libblas: ``>=3.9.0,<4.0a0`` :depends on libgcc: ``>=14`` :depends on liblapack: ``>=3.9.0,<4.0a0`` :depends on liblzma: ``>=5.8.2,<6.0a0`` :depends on libstdcxx: ``>=14`` :depends on libzlib: ``>=1.3.1,<2.0a0`` :depends on r-ape: :depends on r-base: ``>=4.5,<4.6.0a0`` :depends on r-bh: ``>=1.66.0`` :depends on r-dplyr: :depends on r-dynamictreecut: :depends on r-ggplot2: :depends on r-patchwork: :depends on r-rcpp: ``>=0.12.0`` :depends on r-rcppeigen: ``>=0.3.3.3.0`` :depends on r-rcppparallel: ``>=5.0.1`` :depends on r-rlang: :depends on r-rstan: ``>=2.18.1`` :depends on r-rstantools: ``>=2.4.0`` :depends on r-stanheaders: ``>=2.18.0`` :depends on r-stringr: :depends on r-tidyr: :depends on tbb-devel: ``>=2022.3.0,<2022.4.0a0`` :additional platforms: Installation ------------ You need a conda-compatible package manager (currently either `pixi `__, `conda `__, or `micromamba `__) and the Bioconda channel already activated (see :ref:`bioconda_setup`). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda). Pixi """" With pixi_ installed and the Bioconda channel set up (see :ref:`bioconda_setup`), to install globally, run:: pixi global install bioconductor-metabodynamics to add into an existing workspace instead, run:: pixi add bioconductor-metabodynamics In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:: pixi workspace channel add conda-forge pixi workspace channel add bioconda Conda """"" With conda_ installed and the Bioconda channel set up (see :ref:`bioconda_setup`), to install into an existing and activated environment, run:: conda install bioconductor-metabodynamics Alternatively, to install into a new environment, run:: conda create -n envname bioconductor-metabodynamics with ``envname`` being the name of the desired environment. Container """"""""" Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:: docker pull quay.io/biocontainers/bioconductor-metabodynamics: (see `bioconductor-metabodynamics/tags`_ for valid values for ````). Integrated deployment """"""""""""""""""""" Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration. .. _conda: https://conda.io .. _pixi: https://pixi.sh .. |downloads_bioconductor-metabodynamics| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-metabodynamics.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-metabodynamics :alt: (downloads) .. |docker_bioconductor-metabodynamics| image:: https://quay.io/repository/biocontainers/bioconductor-metabodynamics/status :target: https://quay.io/repository/biocontainers/bioconductor-metabodynamics .. _`bioconductor-metabodynamics/tags`: https://quay.io/repository/biocontainers/bioconductor-metabodynamics?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-metabodynamics/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-metabodynamics/README.html