recipe bioconductor-biocsingular

Singular Value Decomposition for Bioconductor Packages

Homepage

https://bioconductor.org/packages/3.11/bioc/html/BiocSingular.html

License

GPL-3

Recipe

/bioconductor-biocsingular/meta.yaml

Implements exact and approximate methods for singular value decomposition and principal components analysis, in a framework that allows them to be easily switched within Bioconductor packages or workflows. Where possible, parallelization is achieved using the BiocParallel framework.

package bioconductor-biocsingular

Versions

1.4.0-0, 1.2.0-0, 1.0.0-1

Depends

• bioconductor-beachmat >=2.4.0,<2.5.0

• bioconductor-biocgenerics >=0.34.0,<0.35.0

• bioconductor-biocparallel >=1.22.0,<1.23.0

• bioconductor-delayedarray >=0.14.0,<0.15.0

• bioconductor-s4vectors >=0.26.0,<0.27.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=7.3.0

• liblapack >=3.8.0,<3.9.0a0

• libstdcxx-ng >=7.3.0

• r-base >=4.0,<4.1.0a0

• r-irlba

• r-matrix

• r-rcpp

• r-rsvd

Required By

• bioconductor-scdblfinder

• bioconductor-scran

• bioconductor-singler

• bioconductor-batchelor

• bioconductor-pcatools

• bioconductor-scater

• bioconductor-scmerge

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-biocsingular

and update with:

conda update bioconductor-biocsingular

or use the docker container:

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

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

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-biocsingular/README.html)