recipe bioconductor-metabcombiner

Method for Combining LC-MS Metabolomics Feature Measurements

Homepage:

https://bioconductor.org/packages/3.20/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.

package bioconductor-metabcombiner

versions:

1.16.0-0,  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, 

1.16.0-0,  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

depends bioconductor-s4vectors:

>=0.44.0,<0.45.0

depends bioconductor-s4vectors:

>=0.44.0,<0.45.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=13

depends liblapack:

>=3.9.0,<4.0a0

depends r-base:

>=4.4,<4.5.0a0

depends r-caret:

depends r-dplyr:

>=1.0

depends r-matrixstats:

depends r-mgcv:

depends r-rlang:

depends r-tidyr:

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see 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:<tag>

(see `bioconductor-metabcombiner/tags`_ for valid values for ``<tag>``)

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