recipe monocle3-cli

A set of wrappers for individual components of the monocle3 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 monocle3 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/monocle-scripts

License:

Apache / Apache-2.0

Recipe:

/monocle3-cli/meta.yaml

package monocle3-cli

(downloads) docker_monocle3-cli

versions:
0.0.9-10.0.9-00.0.8-00.0.7-10.0.7-00.0.6-00.0.5-10.0.5-00.0.4-0

0.0.9-10.0.9-00.0.8-00.0.7-10.0.7-00.0.6-00.0.5-10.0.5-00.0.4-00.0.3-10.0.3-0

depends fonts-conda-ecosystem:

depends r-base:

>=3.6,<3.7.0a0

depends r-monocle3:

<=0.2.0

depends r-optparse:

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 monocle3-cli

and update with::

   mamba update monocle3-cli

To create a new environment, run:

mamba create --name myenvname monocle3-cli

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/monocle3-cli:<tag>

(see `monocle3-cli/tags`_ for valid values for ``<tag>``)

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