recipe bioconductor-snapcgh

Segmentation, normalisation and processing of aCGH data

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/snapCGH.html

License:

GPL

Recipe:

/bioconductor-snapcgh/meta.yaml

Methods for segmenting, normalising and processing aCGH data; including plotting functions for visualising raw and segmented data for individual and multiple arrays.

package bioconductor-snapcgh

Versions:

1.68.0-0,  1.64.0-2,  1.64.0-1,  1.64.0-0,  1.62.0-0,  1.60.0-1,  1.60.0-0,  1.58.0-0,  1.56.0-0, 

1.68.0-0,  1.64.0-2,  1.64.0-1,  1.64.0-0,  1.62.0-0,  1.60.0-1,  1.60.0-0,  1.58.0-0,  1.56.0-0,  1.54.0-1

Depends:

• bioconductor-acgh >=1.76.0,<1.77.0

• bioconductor-dnacopy >=1.72.0,<1.73.0

• bioconductor-glad >=2.62.0,<2.63.0

• bioconductor-limma >=3.54.0,<3.55.0

• bioconductor-tilingarray >=1.76.0,<1.77.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• r-base >=4.2,<4.3.0a0

• r-cluster

Required By:

• bioconductor-adacgh2

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-snapcgh

and update with:

conda update bioconductor-snapcgh

or use the docker container:

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

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

Download stats

Link to this page

Render an 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-snapcgh/README.html)