recipe bioconductor-abarray

Microarray QA and statistical data analysis for Applied Biosystems Genome Survey Microrarray (AB1700) gene expression data.

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/ABarray.html

License:

GPL

Recipe:

/bioconductor-abarray/meta.yaml

Automated pipline to perform gene expression analysis for Applied Biosystems Genome Survey Microarray (AB1700) data format. Functions include data preprocessing, filtering, control probe analysis, statistical analysis in one single function. A GUI interface is also provided. The raw data, processed data, graphics output and statistical results are organized into folders according to the analysis settings used.

package bioconductor-abarray

(downloads) docker_bioconductor-abarray

versions:
1.74.0-0,  1.70.0-0,  1.68.0-0,  1.66.0-0,  1.62.0-0,  1.60.0-0,  1.58.0-1,  1.58.0-0,  1.56.0-0, 

1.74.0-0,  1.70.0-0,  1.68.0-0,  1.66.0-0,  1.62.0-0,  1.60.0-0,  1.58.0-1,  1.58.0-0,  1.56.0-0,  1.54.0-0,  1.52.0-1,  1.50.0-0

depends bioconductor-biobase:

>=2.66.0,<2.67.0

depends bioconductor-multtest:

>=2.62.0,<2.63.0

depends r-base:

>=4.4,<4.5.0a0

requirements:

additional platforms:

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-abarray

and update with::

   mamba update bioconductor-abarray

To create a new environment, run:

mamba create --name myenvname bioconductor-abarray

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-abarray:<tag>

(see `bioconductor-abarray/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-abarray/README.html)