recipe bioconductor-rdisop

Decomposition of Isotopic Patterns

Homepage:

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

License:

GPL-2

Recipe:

/bioconductor-rdisop/meta.yaml

Identification of metabolites using high precision mass spectrometry. MS Peaks are used to derive a ranked list of sum formulae, alternatively for a given sum formula the theoretical isotope distribution can be calculated to search in MS peak lists.

package bioconductor-rdisop

(downloads) docker_bioconductor-rdisop

versions:
1.66.0-01.62.0-11.62.0-01.60.0-01.58.0-21.58.0-11.58.0-01.54.0-21.54.0-1

1.66.0-01.62.0-11.62.0-01.60.0-01.58.0-21.58.0-11.58.0-01.54.0-21.54.0-11.54.0-01.52.0-01.50.0-11.50.0-01.48.0-01.46.0-01.44.0-11.44.0-01.42.1-01.42.0-0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=13

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx:

>=13

depends r-base:

>=4.4,<4.5.0a0

depends r-rcpp:

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-rdisop

and update with::

   mamba update bioconductor-rdisop

To create a new environment, run:

mamba create --name myenvname bioconductor-rdisop

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-rdisop:<tag>

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

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