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:

  • on bioconductor-annotate >=1.80.0,<1.81.0

  • on bioconductor-biobase >=2.62.0,<2.63.0

  • on r-base >=4.3,<4.4.0a0

Additional platforms:

Installation

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install bioconductor-macat

to add into an existing workspace instead, run:

pixi add bioconductor-macat

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install bioconductor-macat

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-macat

with envname being the name of the desired environment.

Container

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

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

(see bioconductor-macat/tags for valid values for <tag>).

Integrated deployment

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

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