- recipe bioconductor-gdsfmt
R Interface to CoreArray Genomic Data Structure (GDS) Files
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/gdsfmt.html
- License:
LGPL-3
- Recipe:
Provides a high-level R interface to CoreArray Genomic Data Structure (GDS) data files. GDS is portable across platforms with hierarchical structure to store multiple scalable array-oriented data sets with metadata information. It is suited for large-scale datasets, especially for data which are much larger than the available random-access memory. The gdsfmt package offers the efficient operations specifically designed for integers of less than 8 bits, since a diploid genotype, like single-nucleotide polymorphism (SNP), usually occupies fewer bits than a byte. Data compression and decompression are available with relatively efficient random access. It is also allowed to read a GDS file in parallel with multiple R processes supported by the package parallel.
- package bioconductor-gdsfmt¶
- versions:
1.38.0-1
,1.38.0-0
,1.36.1-0
,1.34.0-1
,1.34.0-0
,1.30.0-2
,1.30.0-1
,1.30.0-0
,1.28.0-0
,1.38.0-1
,1.38.0-0
,1.36.1-0
,1.34.0-1
,1.34.0-0
,1.30.0-2
,1.30.0-1
,1.30.0-0
,1.28.0-0
,1.26.1-0
,1.26.0-0
,1.24.0-0
,1.22.0-0
,1.20.0-1
,1.20.0-0
,1.18.1-0
,1.16.0-0
,1.14.1-0
- depends libblas:
>=3.9.0,<4.0a0
- depends libgcc-ng:
>=12
- depends liblapack:
>=3.9.0,<4.0a0
- depends libstdcxx-ng:
>=12
- depends r-base:
>=4.3,<4.4.0a0
- requirements:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-gdsfmt and update with:: mamba update bioconductor-gdsfmt
To create a new environment, run:
mamba create --name myenvname bioconductor-gdsfmt
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-gdsfmt:<tag> (see `bioconductor-gdsfmt/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-gdsfmt/README.html)