Package Recipe 'bioconductor-gdsarray'

recipe bioconductor-gdsarray¶

GDS files are widely used to represent genotyping or sequence data. The GDSArray package implements the `GDSArray` class to represent nodes in GDS files in a matrix-like representation that allows easy manipulation (e.g., subsetting, mathematical transformation) in _R_. The data remains on disk until needed, so that very large files can be processed.

Homepage: https://bioconductor.org/packages/3.9/bioc/html/GDSArray.html
License: GPL-3
Recipe: /bioconductor-gdsarray/meta.yaml

package bioconductor-gdsarray¶

Versions: 1.2.0-1, 1.2.0-0
Depends bioconductor-biocgenerics: >=0.28.0,<0.29.0
Depends bioconductor-delayedarray: >=0.8.0,<0.9.0
Depends bioconductor-gdsfmt: >=1.18.0,<1.19.0
Depends bioconductor-s4vectors: >=0.20.0,<0.21.0
Depends bioconductor-seqarray: >=1.22.0,<1.23.0
Depends bioconductor-snprelate: >=1.16.0,<1.17.0
Depends r-base: >=3.5.1,<3.5.2.0a0
Requirements

Installation

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

conda install bioconductor-gdsarray

and update with:

conda update bioconductor-gdsarray

or use the docker container:

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

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