Package Recipe 'bioconductor-ucell'

recipe bioconductor-ucell

Rank-based signature enrichment analysis for single-cell data

Homepage:: https://bioconductor.org/packages/3.20/bioc/html/UCell.html
License:: GPL-3 + file LICENSE
Recipe:: /bioconductor-ucell/meta.yaml

UCell is a package for evaluating gene signatures in single-cell datasets. UCell signature scores, based on the Mann-Whitney U statistic, are robust to dataset size and heterogeneity, and their calculation demands less computing time and memory than other available methods, enabling the processing of large datasets in a few minutes even on machines with limited computing power. UCell can be applied to any single-cell data matrix, and includes functions to directly interact with SingleCellExperiment and Seurat objects.

package bioconductor-ucell¶

Versions:

2.14.0-0, 2.10.1-0, 2.6.2-0, 2.4.0-0, 2.2.0-0

Depends:

on bioconductor-biocneighbors >=2.4.0,<2.5.0
on bioconductor-biocparallel >=1.44.0,<1.45.0
on bioconductor-singlecellexperiment >=1.32.0,<1.33.0
on bioconductor-summarizedexperiment >=1.40.0,<1.41.0
on r-base >=4.5,<4.6.0a0
on r-data.table >=1.13.6
on r-matrix

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 bioconductor-ucell

to add into an existing workspace instead, run:

pixi add bioconductor-ucell

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 bioconductor-ucell

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-ucell

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/bioconductor-ucell:<tag>

(see bioconductor-ucell/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:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-ucell/README.html)