recipe bioconductor-gwena

Pipeline for augmented co-expression analysis

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-gwena/meta.yaml

The development of high-throughput sequencing led to increased use of co-expression analysis to go beyong single feature (i.e. gene) focus. We propose GWENA (Gene Whole co-Expression Network Analysis) , a tool designed to perform gene co-expression network analysis and explore the results in a single pipeline. It includes functional enrichment of modules of co-expressed genes, phenotypcal association, topological analysis and comparison of networks configuration between conditions.

package bioconductor-gwena

Versions:

1.8.0-0,  1.4.0-0,  1.2.0-0,  1.0.1-0,  1.0.0-0

Depends:

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• r-base >=4.2,<4.3.0a0

• r-cluster >=2.1.0

• r-dplyr >=0.8.3

• r-dynamictreecut >=1.63-1

• r-ggplot2 >=3.1.1

• r-gprofiler2 >=0.1.6

• r-igraph >=1.2.4.1

• r-magrittr >=1.5

• r-matrixstats >=0.55.0

• r-netrep >=1.2.1

• r-purrr >=0.3.3

• r-rcolorbrewer >=1.1-2

• r-rlist >=0.4.6.1

• r-stringr >=1.4.0

• r-tibble >=2.1.1

• r-tidyr >=1.0.0

• r-wgcna >=1.67

Required By:

Installation

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

conda install bioconductor-gwena

and update with:

conda update bioconductor-gwena

or use the docker container:

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

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