recipe bioconductor-specond

Condition specific detection from expression data

Homepage

https://bioconductor.org/packages/3.11/bioc/html/SpeCond.html

License

LGPL (>=2)

Recipe

/bioconductor-specond/meta.yaml

Links

biotools: specond, doi: 10.1186/gb-2011-12-12-413

This package performs a gene expression data analysis to detect condition-specific genes. Such genes are significantly up- or down-regulated in a small number of conditions. It does so by fitting a mixture of normal distributions to the expression values. Conditions can be environmental conditions, different tissues, organs or any other sources that you wish to compare in terms of gene expression.

package bioconductor-specond

Versions

1.42.0-0,  1.40.0-0,  1.38.0-1,  1.36.0-0,  1.34.0-0,  1.32.0-0,  1.30.0-0

Depends

• bioconductor-biobase >=2.48.0,<2.49.0

• r-base >=4.0,<4.1.0a0

• r-fields

• r-hwriter >=1.1

• r-mclust >=3.3.1

• r-rcolorbrewer

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-specond

and update with:

conda update bioconductor-specond

or use the docker container:

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

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

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-specond/README.html)