recipe bioconductor-targetsearch

A package for the analysis of GC-MS metabolite profiling data

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/TargetSearch.html

License:

GPL (>= 2)

Recipe:

/bioconductor-targetsearch/meta.yaml

This packages provides a flexible, fast and accurate method for targeted pre-processing of GC-MS data. The user provides a (often very large) set of GC chromatograms and a metabolite library of targets. The package will automatically search those targets in the chromatograms resulting in a data matrix that can be used for further data analysis.

package bioconductor-targetsearch

(downloads) docker_bioconductor-targetsearch

versions:
2.8.0-0,  2.4.1-1,  2.4.1-0,  2.2.0-0,  2.0.0-2,  2.0.0-1,  2.0.0-0,  1.50.1-1,  1.50.1-0, 

2.8.0-0,  2.4.1-1,  2.4.1-0,  2.2.0-0,  2.0.0-2,  2.0.0-1,  2.0.0-0,  1.50.1-1,  1.50.1-0,  1.50.0-0,  1.48.0-0,  1.46.3-0,  1.46.0-0,  1.44.0-0,  1.42.0-0,  1.40.2-0,  1.40.0-0,  1.38.1-0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=13

depends liblapack:

>=3.9.0,<4.0a0

depends r-assertthat:

depends r-base:

>=4.4,<4.5.0a0

depends r-ncdf4:

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-targetsearch

and update with::

   mamba update bioconductor-targetsearch

To create a new environment, run:

mamba create --name myenvname bioconductor-targetsearch

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-targetsearch:<tag>

(see `bioconductor-targetsearch/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-targetsearch/README.html)