recipe bioconductor-scarray

Large-scale single-cell RNA-seq data manipulation with GDS files

Homepage:

https://bioconductor.org/packages/3.14/bioc/html/SCArray.html

License:

GPL-3

Recipe:

/bioconductor-scarray/meta.yaml

Provides large-scale single-cell RNA-seq data manipulation using Genomic Data Structure (GDS) files. It combines dense and sparse matrices stored in GDS files and the Bioconductor infrastructure framework (SingleCellExperiment and DelayedArray) to provide out-of-memory data storage and large-scale manipulation using the R programming language.

package bioconductor-scarray

Versions:

1.2.1-1,  1.2.1-0,  1.2.0-0,  1.0.0-0

Depends:

• bioconductor-biocgenerics >=0.40.0,<0.41.0

• bioconductor-delayedarray >=0.20.0,<0.21.0

• bioconductor-delayedmatrixstats >=1.16.0,<1.17.0

• bioconductor-gdsfmt >=1.30.0,<1.31.0

• bioconductor-iranges >=2.28.0,<2.29.0

• bioconductor-s4vectors >=0.32.0,<0.33.0

• bioconductor-singlecellexperiment >=1.16.0,<1.17.0

• bioconductor-summarizedexperiment >=1.24.0,<1.25.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• libstdcxx-ng >=12

• r-base >=4.1,<4.2.0a0

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-scarray

and update with:

conda update bioconductor-scarray

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-scarray:<tag>

(see bioconductor-scarray/tags for valid values for <tag>)

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-scarray/README.html)