- recipe bioconductor-biocviews
Categorized views of R package repositories
Infrastructure to support 'views' used to classify Bioconductor packages. 'biocViews' are directed acyclic graphs of terms from a controlled vocabulary. There are three major classifications, corresponding to 'software', 'annotation', and 'experiment data' packages.
- package bioconductor-biocviews¶
- depends bioconductor-biobase:
- depends bioconductor-graph:
- depends bioconductor-rbgl:
- depends r-base:
- depends r-biocmanager:
- depends r-rcurl:
- depends r-runit:
- depends r-xml:
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-biocviews and update with:: mamba update bioconductor-biocviews
To create a new environment, run:
mamba create --name myenvname bioconductor-biocviews
myenvnamebeing 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-biocviews:<tag> (see `bioconductor-biocviews/tags`_ for valid values for ``<tag>``)