recipe bioconductor-beadarray

The package is able to read bead-level data (raw TIFFs and text files) output by BeadScan as well as bead-summary data from BeadStudio. Methods for quality assessment and low-level analysis are provided.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/beadarray.html

License

MIT + file LICENSE

Recipe

/bioconductor-beadarray/meta.yaml

Links

biotools: beadarray

package bioconductor-beadarray

Versions

2.32.0-0, 2.30.0-0, 2.28.0-0, 2.26.1-0

Depends

• bioconductor-annotationdbi >=1.44.0,<1.45.0

• bioconductor-beaddatapackr >=1.34.0,<1.35.0

• bioconductor-biobase >=2.42.0,<2.43.0

• bioconductor-biocgenerics >=0.28.0,<0.29.0

• bioconductor-genomicranges >=1.34.0,<1.35.0

• bioconductor-illuminaio >=0.24.0,<0.25.0

• bioconductor-iranges >=2.16.0,<2.17.0

• bioconductor-limma >=3.38.0,<3.39.0

• libgcc-ng >=7.3.0

• r-base >=3.5.1,<3.5.2.0a0

• r-ggplot2

• r-reshape2

Required By

• bioconductor-beadarrayexampledata

• bioconductor-arrayqualitymetrics

• bioconductor-beadarrayusecases

• bioconductor-epigenomix

• bioconductor-blima

Installation

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

conda install bioconductor-beadarray

and update with:

conda update bioconductor-beadarray

or use the docker container:

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

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