recipe sc3-scripts

A set of wrappers for individual components of the SC3 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-sc3-scripts

License:

GPL / GPL-3

Recipe:

/sc3-scripts/meta.yaml

package sc3-scripts

(downloads) docker_sc3-scripts

versions:

0.0.6-0,  0.0.5-0,  0.0.4-0

depends bioconductor-biobase:

depends bioconductor-sc3:

>=1.10.0,<1.11

depends bioconductor-singlecellexperiment-scripts:

depends r-base:

>=3.5.1,<3.5.2.0a0

depends r-optparse:

depends r-workflowscriptscommon:

depends scater-scripts:

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 sc3-scripts

and update with::

   mamba update sc3-scripts

To create a new environment, run:

mamba create --name myenvname sc3-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/sc3-scripts:<tag>

(see `sc3-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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