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:
0.0.9-1,  0.0.9-0,  0.0.8-0,  0.0.7-1,  0.0.7-0,  0.0.6-0,  0.0.5-1,  0.0.5-0,  0.0.4-0, 

0.0.9-1,  0.0.9-0,  0.0.8-0,  0.0.7-1,  0.0.7-0,  0.0.6-0,  0.0.5-1,  0.0.5-0,  0.0.4-0,  0.0.3-1,  0.0.3-0

Depends:

  • on fonts-conda-ecosystem

  • on r-base >=3.6,<3.7.0a0

  • on r-monocle3 <=0.2.0

  • on r-optparse

Additional platforms:

Installation

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install monocle3-cli

to add into an existing workspace instead, run:

pixi add monocle3-cli

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install monocle3-cli

Alternatively, to install into a new environment, run:

conda create -n envname monocle3-cli

with envname being the name of the desired environment.

Container

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

docker pull quay.io/biocontainers/monocle3-cli:<tag>

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

Integrated deployment

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

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/monocle3-cli/README.html)