Package Recipe 'bioconductor-scone'

recipe bioconductor-scone

Single Cell Overview of Normalized Expression data

Homepage:: https://bioconductor.org/packages/3.20/bioc/html/scone.html
License:: Artistic-2.0
Recipe:: /bioconductor-scone/meta.yaml

SCONE is an R package for comparing and ranking the performance of different normalization schemes for single-cell RNA-seq and other high-throughput analyses.

package bioconductor-scone¶

Versions:

1.34.0-0, 1.30.0-0, 1.26.0-0, 1.24.0-0, 1.22.0-0, 1.18.0-0, 1.16.0-0, 1.14.0-1, 1.14.0-0,

1.34.0-0, 1.30.0-0, 1.26.0-0, 1.24.0-0, 1.22.0-0, 1.18.0-0, 1.16.0-0, 1.14.0-1, 1.14.0-0, 1.12.0-0, 1.10.0-0, 1.8.0-1, 1.6.1-0, 1.6.0-0

Depends:

on bioconductor-aroma.light >=3.40.0,<3.41.0
on bioconductor-biocparallel >=1.44.0,<1.45.0
on bioconductor-delayedmatrixstats >=1.32.0,<1.33.0
on bioconductor-edger >=4.8.0,<4.9.0
on bioconductor-limma >=3.66.0,<3.67.0
on bioconductor-matrixgenerics >=1.22.0,<1.23.0
on bioconductor-rhdf5 >=2.54.0,<2.55.0
on bioconductor-ruvseq >=1.44.0,<1.45.0
on bioconductor-singlecellexperiment >=1.32.0,<1.33.0
on bioconductor-sparsearray >=1.10.0,<1.11.0
on bioconductor-sparsematrixstats >=1.22.0,<1.23.0
on bioconductor-summarizedexperiment >=1.40.0,<1.41.0
on r-base >=4.5,<4.6.0a0
on r-boot
on r-class
on r-cluster
on r-compositions
on r-diptest
on r-fpc
on r-gplots
on r-hexbin
on r-matrixstats
on r-mixtools
on r-rarpack
on r-rcolorbrewer

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-scone

to add into an existing workspace instead, run:

pixi add bioconductor-scone

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-scone

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-scone

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-scone:<tag>

(see bioconductor-scone/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-scone/README.html)