recipe bioconductor-camera

Collection of annotation related methods for mass spectrometry data

Homepage:

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

License:

GPL (>= 2)

Recipe:

/bioconductor-camera/meta.yaml

Links:

biotools: camera

Annotation of peaklists generated by xcms, rule based annotation of isotopes and adducts, isotope validation, EIC correlation based tagging of unknown adducts and fragments

package bioconductor-camera

(downloads) docker_bioconductor-camera

versions:
1.56.0-0,  1.54.0-1,  1.54.0-0,  1.50.0-2,  1.50.0-1,  1.50.0-0,  1.48.0-0,  1.46.0-1,  1.46.0-0, 

1.56.0-0,  1.54.0-1,  1.54.0-0,  1.50.0-2,  1.50.0-1,  1.50.0-0,  1.48.0-0,  1.46.0-1,  1.46.0-0,  1.44.0-0,  1.42.0-0,  1.40.0-1,  1.38.1-0,  1.38.0-0,  1.34.0-2,  1.34.0-0,  1.32.0-0,  1.28.0-1,  1.26.0-1,  1.26.0-0,  1.22.0-1,  1.22.0-0

depends bioconductor-biobase:

>=2.60.0,<2.61.0

depends bioconductor-graph:

>=1.78.0,<1.79.0

depends bioconductor-rbgl:

>=1.76.0,<1.77.0

depends bioconductor-xcms:

>=3.22.0,<3.23.0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends r-base:

>=4.3,<4.4.0a0

depends r-hmisc:

depends r-igraph:

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-camera

and update with::

   mamba update bioconductor-camera

To create a new environment, run:

mamba create --name myenvname bioconductor-camera

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-camera:<tag>

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