recipe bioconductor-lumibarnes

Barnes Benchmark Illumina Tissues Titration Data

Homepage:

https://bioconductor.org/packages/3.18/data/experiment/html/lumiBarnes.html

License:

LGPL

Recipe:

/bioconductor-lumibarnes/meta.yaml

The Barnes benchmark dataset can be used to evaluate the algorithms for Illumina microarrays. It measured a titration series of two human tissues, blood and placenta, and includes six samples with the titration ratio of blood and placenta as 100:0, 95:5, 75:25, 50:50, 25:75 and 0:100. The samples were hybridized on HumanRef-8 BeadChip (Illumina, Inc) in duplicate. The data is loaded as an LumiBatch Object (see documents in the lumi package).

package bioconductor-lumibarnes

(downloads) docker_bioconductor-lumibarnes

versions:
1.42.0-0,  1.40.0-0,  1.38.0-0,  1.34.0-1,  1.34.0-0,  1.32.0-0,  1.30.0-1,  1.30.0-0,  1.28.0-0, 

1.42.0-0,  1.40.0-0,  1.38.0-0,  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,  1.24.0-1,  1.22.0-0

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-lumi:

>=2.54.0,<2.55.0

depends curl:

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-lumibarnes

and update with::

   mamba update bioconductor-lumibarnes

To create a new environment, run:

mamba create --name myenvname bioconductor-lumibarnes

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-lumibarnes:<tag>

(see `bioconductor-lumibarnes/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an install-with-bioconda 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-lumibarnes/README.html)