recipe bioconductor-metab

Metab: An R Package for a High-Throughput Analysis of Metabolomics Data Generated by GC-MS.

Homepage:

https://bioconductor.org/packages/3.17/bioc/html/Metab.html

License:

GPL (>=2)

Recipe:

/bioconductor-metab/meta.yaml

Links:

biotools: metab

Metab is an R package for high-throughput processing of metabolomics data analysed by the Automated Mass Spectral Deconvolution and Identification System (AMDIS) (http://chemdata.nist.gov/mass-spc/amdis/downloads/). In addition, it performs statistical hypothesis test (t-test) and analysis of variance (ANOVA). Doing so, Metab considerably speed up the data mining process in metabolomics and produces better quality results. Metab was developed using interactive features, allowing users with lack of R knowledge to appreciate its functionalities.

package bioconductor-metab

(downloads) docker_bioconductor-metab

versions:
1.33.0-0,  1.32.0-0,  1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1, 

1.33.0-0,  1.32.0-0,  1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.16.1-0,  1.12.0-0

depends bioconductor-xcms:

>=3.22.0,<3.23.0

depends r-base:

>=4.3,<4.4.0a0

depends r-pander:

depends r-svdialogs:

requirements:

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-metab

and update with::

   mamba update bioconductor-metab

To create a new environment, run:

mamba create --name myenvname bioconductor-metab

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-metab:<tag>

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

Download stats

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-metab/README.html)