Package Recipe 'bioconductor-seqarray'

recipe bioconductor-seqarray

Data Management of Large-Scale Whole-Genome Sequence Variant Calls

Homepage:: https://bioconductor.org/packages/3.20/bioc/html/SeqArray.html
License:: GPL-3
Recipe:: /bioconductor-seqarray/meta.yaml
Links:: biotools: seqarray

Data management of large-scale whole-genome sequencing variant calls with thousands of individuals: genotypic data (e.g., SNVs, indels and structural variation calls) and annotations in SeqArray GDS files are stored in an array-oriented and compressed manner, with efficient data access using the R programming language.

package bioconductor-seqarray¶

Versions:

1.50.1-0, 1.46.0-0, 1.42.4-1, 1.42.0-0, 1.40.1-0, 1.38.0-1, 1.38.0-0, 1.34.0-2, 1.34.0-1,

1.50.1-0, 1.46.0-0, 1.42.4-1, 1.42.0-0, 1.40.1-0, 1.38.0-1, 1.38.0-0, 1.34.0-2, 1.34.0-1, 1.34.0-0, 1.32.0-0, 1.30.0-1, 1.30.0-0, 1.28.0-0, 1.26.0-0, 1.24.2-0, 1.22.2-0

Depends:

on bioconductor-biostrings >=2.78.0,<2.79.0
on bioconductor-biostrings >=2.78.0,<2.79.0a0
on bioconductor-gdsfmt >=1.46.0,<1.47.0
on bioconductor-gdsfmt >=1.46.0,<1.47.0a0
on bioconductor-genomicranges >=1.62.0,<1.63.0
on bioconductor-genomicranges >=1.62.1,<1.63.0a0
on bioconductor-iranges >=2.44.0,<2.45.0
on bioconductor-iranges >=2.44.0,<2.45.0a0
on bioconductor-s4vectors >=0.48.0,<0.49.0
on bioconductor-s4vectors >=0.48.0,<0.49.0a0
on bioconductor-seqinfo >=1.0.0,<1.1.0
on bioconductor-seqinfo >=1.0.0,<1.1.0a0
on libblas >=3.9.0,<4.0a0
on libgcc >=14
on liblapack >=3.9.0,<4.0a0
on liblzma >=5.8.2,<6.0a0
on libstdcxx >=14
on libzlib >=1.3.1,<2.0a0
on r-base >=4.5,<4.6.0a0
on r-digest

Additional platforms:

linux-aarch64

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-seqarray

to add into an existing workspace instead, run:

pixi add bioconductor-seqarray

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-seqarray

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-seqarray

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-seqarray:<tag>

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