recipe r-mfassignr

The MFAssignR package was designed for multi-element molecular formula (MF) assignment of ultrahigh resolution mass spectrometry measurements. A number of tools for internal mass recalibration, MF assignment, signal-to-noise evaluation, and unambiguous formula selections are provided.

Homepage:

https://github.com/RECETOX/MFAssignR

License:

GPL-3.0-or-later

Recipe:

/r-mfassignr/meta.yaml

package r-mfassignr

(downloads) docker_r-mfassignr

versions:

1.1.2-0,  1.1.1-0,  1.1.0-0,  1.0.3-0

depends r-base:

>=4.4,<4.5.0a0

depends r-colorramps:

>=2.3

depends r-dplyr:

>=0.7.6

depends r-ggplot2:

>=3.0.0

depends r-gtools:

>=3.9.5

depends r-tidyr:

>=0.8.1

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 r-mfassignr

and update with::

   mamba update r-mfassignr

To create a new environment, run:

mamba create --name myenvname r-mfassignr

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/r-mfassignr:<tag>

(see `r-mfassignr/tags`_ for valid values for ``<tag>``)

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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