recipe r-sceasy

A package providing functions to convert between different single-cell data formats.

Homepage:

https://github.com/cellgeni/sceasy

License:

GPL / GPL3

Recipe:

/r-sceasy/meta.yaml

package r-sceasy

(downloads) docker_r-sceasy

versions:
0.0.7-20.0.7-10.0.7-00.0.6-20.0.6-10.0.6-00.0.5-10.0.5-00.0.4-0

0.0.7-20.0.7-10.0.7-00.0.6-20.0.6-10.0.6-00.0.5-10.0.5-00.0.4-00.0.3-0

depends anndata:

depends bioconductor-loomexperiment:

>=1.1.5

depends bioconductor-singlecellexperiment:

>=1.4.0

depends r-base:

>=4.3,<4.4.0a0

depends r-monocle3:

>=1.0.0

depends r-reticulate:

depends r-seurat:

>=3.0.1

depends scipy:

requirements:

additional platforms:

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 r-sceasy

and update with::

   mamba update r-sceasy

To create a new environment, run:

mamba create --name myenvname r-sceasy

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/r-sceasy:<tag>

(see `r-sceasy/tags`_ for valid values for ``<tag>``)

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