Package Recipe 'r-scbio'

recipe r-scbio

Cellular population mapping (CPM) a deconvolution algorithm in which single-cell genomics is required in only one or a few samples, where in other samples of the same tissue, only bulk genomics is measured and the underlying fine resolution cellular heterogeneity is inferred.

Homepage:: https://github.com/amitfrish/scBio
License:: GPL / GPL-2
Recipe:: /r-scbio/meta.yaml
Links:: doi: 10.1038/s41592-019-0355-5

package r-scbio¶

Versions:

0.1.4-4, 0.1.4-3, 0.1.4-2, 0.1.4-1, 0.1.4-0

Depends:

on bioconductor-limma
on r-base >=4.4,<4.5.0a0
on r-dosnow
on r-fields
on r-foreach
on r-liblinear
on r-raster
on r-sp

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 r-scbio

to add into an existing workspace instead, run:

pixi add r-scbio

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 r-scbio

Alternatively, to install into a new environment, run:

conda create -n envname r-scbio

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/r-scbio:<tag>

(see r-scbio/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 badge with the following MarkDown:

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