:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-omicrexposome' .. highlight: bash bioconductor-omicrexposome ========================== .. conda:recipe:: bioconductor-omicrexposome :replaces_section_title: :noindex: Exposome and omic data associatin and integration analysis :homepage: https://bioconductor.org/packages/3.18/bioc/html/omicRexposome.html :license: MIT + file LICENSE :recipe: /`bioconductor-omicrexposome `_/`meta.yaml `_ omicRexposome systematizes the association evaluation between exposures and omic data\, taking advantage of MultiDataSet for coordinated data management\, rexposome for exposome data definition and limma for association testing. Also to perform data integration mixing exposome and omic data using multi co\-inherent analysis \(omicade4\) and multi\-canonical correlation analysis \(PMA\). .. conda:package:: bioconductor-omicrexposome |downloads_bioconductor-omicrexposome| |docker_bioconductor-omicrexposome| :versions: .. raw:: html
1.24.2-01.22.0-01.20.0-01.16.0-01.14.0-01.12.1-01.12.0-01.9.0-01.8.0-0 ``1.24.2-0``,  ``1.22.0-0``,  ``1.20.0-0``,  ``1.16.0-0``,  ``1.14.0-0``,  ``1.12.1-0``,  ``1.12.0-0``,  ``1.9.0-0``,  ``1.8.0-0``,  ``1.6.0-1``,  ``1.4.0-0`` .. raw:: html
:depends bioconductor-biobase: ``>=2.62.0,<2.63.0`` :depends bioconductor-limma: ``>=3.58.0,<3.59.0`` :depends bioconductor-multidataset: ``>=1.30.0,<1.31.0`` :depends bioconductor-omicade4: ``>=1.42.0,<1.43.0`` :depends bioconductor-rexposome: ``>=1.24.0,<1.25.0`` :depends bioconductor-summarizedexperiment: ``>=1.32.0,<1.33.0`` :depends bioconductor-sva: ``>=3.50.0,<3.51.0`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-ggplot2: :depends r-ggrepel: :depends r-gridextra: :depends r-isva: :depends r-pma: :depends r-smartsva: :depends r-stringr: :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-omicrexposome and update with:: mamba update bioconductor-omicrexposome To create a new environment, run:: mamba create --name myenvname bioconductor-omicrexposome 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-omicrexposome: (see `bioconductor-omicrexposome/tags`_ for valid values for ````) .. |downloads_bioconductor-omicrexposome| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-omicrexposome.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-omicrexposome :alt: (downloads) .. |docker_bioconductor-omicrexposome| image:: https://quay.io/repository/biocontainers/bioconductor-omicrexposome/status :target: https://quay.io/repository/biocontainers/bioconductor-omicrexposome .. _`bioconductor-omicrexposome/tags`: https://quay.io/repository/biocontainers/bioconductor-omicrexposome?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-omicrexposome/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-omicrexposome/README.html