:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-metabcombiner' .. highlight: bash bioconductor-metabcombiner ========================== .. conda:recipe:: bioconductor-metabcombiner :replaces_section_title: :noindex: Method for Combining LC\-MS Metabolomics Feature Measurements :homepage: https://bioconductor.org/packages/3.18/bioc/html/metabCombiner.html :license: GPL-3 :recipe: /`bioconductor-metabcombiner `_/`meta.yaml `_ This package aligns LC\-HRMS metabolomics datasets acquired from biologically similar specimens analyzed under similar\, but not necessarily identical\, conditions. Peak\-picked and simply aligned metabolomics feature tables \(consisting of m\/z\, rt\, and per\-sample abundance measurements\, plus optional identifiers \& adduct annotations\) are accepted as input. The package outputs a combined table of feature pair alignments\, organized into groups of similar m\/z\, and ranked by a similarity score. Input tables are assumed to be acquired using similar \(but not necessarily identical\) analytical methods. .. conda:package:: bioconductor-metabcombiner |downloads_bioconductor-metabcombiner| |docker_bioconductor-metabcombiner| :versions: .. raw:: html
1.12.0-01.10.0-01.8.0-11.8.0-01.4.0-21.4.0-11.4.0-01.2.0-01.0.1-0 ``1.12.0-0``,  ``1.10.0-0``,  ``1.8.0-1``,  ``1.8.0-0``,  ``1.4.0-2``,  ``1.4.0-1``,  ``1.4.0-0``,  ``1.2.0-0``,  ``1.0.1-0``,  ``1.0.0-1`` .. raw:: html
:depends bioconductor-s4vectors: ``>=0.40.0,<0.41.0`` :depends bioconductor-s4vectors: ``>=0.40.2,<0.41.0a0`` :depends libblas: ``>=3.9.0,<4.0a0`` :depends libgcc-ng: ``>=12`` :depends liblapack: ``>=3.9.0,<4.0a0`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-caret: :depends r-dplyr: ``>=1.0`` :depends r-matrixstats: :depends r-mgcv: :depends r-rlang: :depends r-tidyr: :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-metabcombiner and update with:: mamba update bioconductor-metabcombiner To create a new environment, run:: mamba create --name myenvname bioconductor-metabcombiner 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-metabcombiner: (see `bioconductor-metabcombiner/tags`_ for valid values for ````) .. |downloads_bioconductor-metabcombiner| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-metabcombiner.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-metabcombiner :alt: (downloads) .. |docker_bioconductor-metabcombiner| image:: https://quay.io/repository/biocontainers/bioconductor-metabcombiner/status :target: https://quay.io/repository/biocontainers/bioconductor-metabcombiner .. _`bioconductor-metabcombiner/tags`: https://quay.io/repository/biocontainers/bioconductor-metabcombiner?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-metabcombiner/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-metabcombiner/README.html