recipe bioconductor-variancepartition

Quantify and interpret divers of variation in multilevel gene expression experiments

Homepage

https://bioconductor.org/packages/3.10/bioc/html/variancePartition.html

License

GPL (>= 2)

Recipe

/bioconductor-variancepartition/meta.yaml

Links

biotools: variancepartition

Quantify and interpret multiple sources of biological and technical variation in gene expression experiments. Uses a linear mixed model to quantify variation in gene expression attributable to individual, tissue, time point, or technical variables. Includes dream differential expression analysis for repeated measures.

package bioconductor-variancepartition

Versions

1.16.0-0, 1.14.1-0, 1.14.0-1, 1.12.3-0, 1.12.0-0, 1.10.4-0, 1.8.1-0

Depends

• bioconductor-biobase >=2.46.0,<2.47.0

• bioconductor-biocparallel >=1.20.0,<1.21.0

• bioconductor-limma >=3.42.0,<3.43.0

• r-base >=3.6,<3.7.0a0

• r-colorramps

• r-doparallel

• r-foreach

• r-ggplot2

• r-gplots

• r-iterators

• r-lme4 >=1.1-10

• r-lmertest

• r-mass

• r-pbkrtest >=0.4-4

• r-progress

• r-reshape2

• r-scales

Required By

• bioconductor-biomm

• bioconductor-muscat

Installation

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

conda install bioconductor-variancepartition

and update with:

conda update bioconductor-variancepartition

or use the docker container:

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

(see bioconductor-variancepartition/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-variancepartition/README.html)