recipe scater-scripts

A set of wrappers for individual components of the Scater package. Functions R packages are hard to call when building workflows outside of R, so this package adds a set of simple wrappers with robust argument parsing. Intermediate steps are currently mainly serialized R objects, but the ultimate objective is to have language-agnostic intermediate formats allowing composite workflows using a variety of software packages.

Homepage:

https://github.com/ebi-gene-expression-group/bioconductor-scater-scripts

License:

GPL / GPL-3

Recipe:

/scater-scripts/meta.yaml

package scater-scripts

(downloads) docker_scater-scripts

versions:

0.0.5-1,  0.0.5-0

depends bioconductor-biobase:

depends bioconductor-scater:

>=1.10.0,<1.11.0

depends bioconductor-singlecellexperiment-scripts:

depends r-optparse:

depends r-rtsne:

depends r-workflowscriptscommon:

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 scater-scripts

and update with::

   mamba update scater-scripts

To create a new environment, run:

mamba create --name myenvname scater-scripts

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/scater-scripts:<tag>

(see `scater-scripts/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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