recipe bioconductor-macat

MicroArray Chromosome Analysis Tool

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-macat/meta.yaml

Links:

biotools: macat

This library contains functions to investigate links between differential gene expression and the chromosomal localization of the genes. MACAT is motivated by the common observation of phenomena involving large chromosomal regions in tumor cells. MACAT is the implementation of a statistical approach for identifying significantly differentially expressed chromosome regions. The functions have been tested on a publicly available data set about acute lymphoblastic leukemia (Yeoh et al.Cancer Cell 2002), which is provided in the library 'stjudem'.

package bioconductor-macat

(downloads) docker_bioconductor-macat

versions:
1.76.0-0,  1.74.0-0,  1.72.0-0,  1.68.0-0,  1.66.0-0,  1.64.0-1,  1.64.0-0,  1.62.0-0,  1.60.0-0, 

1.76.0-0,  1.74.0-0,  1.72.0-0,  1.68.0-0,  1.66.0-0,  1.64.0-1,  1.64.0-0,  1.62.0-0,  1.60.0-0,  1.58.0-1,  1.56.0-0,  1.54.0-0,  1.52.0-0,  1.50.0-0

depends bioconductor-annotate:

>=1.80.0,<1.81.0

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends r-base:

>=4.3,<4.4.0a0

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-macat

and update with::

   mamba update bioconductor-macat

To create a new environment, run:

mamba create --name myenvname bioconductor-macat

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-macat:<tag>

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