recipe bioconductor-quantro

A test for when to use quantile normalization

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/quantro.html

License:

GPL-3

Recipe:

/bioconductor-quantro/meta.yaml

Links:

biotools: quantro

A data-driven test for the assumptions of quantile normalization using raw data such as objects that inherit eSets (e.g. ExpressionSet, MethylSet). Group level information about each sample (such as Tumor / Normal status) must also be provided because the test assesses if there are global differences in the distributions between the user-defined groups.

package bioconductor-quantro

(downloads) docker_bioconductor-quantro

versions:
1.40.0-0,  1.36.0-0,  1.34.0-0,  1.32.0-0,  1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.22.0-0, 

1.40.0-0,  1.36.0-0,  1.34.0-0,  1.32.0-0,  1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.16.0-1,  1.16.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-0

depends bioconductor-biobase:

>=2.66.0,<2.67.0

depends bioconductor-minfi:

>=1.52.0,<1.53.0

depends r-base:

>=4.4,<4.5.0a0

depends r-doparallel:

depends r-foreach:

depends r-ggplot2:

depends r-iterators:

depends r-rcolorbrewer:

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-quantro

and update with::

   mamba update bioconductor-quantro

To create a new environment, run:

mamba create --name myenvname bioconductor-quantro

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-quantro:<tag>

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