WGCNA 1.69-foss-2019a-R-3.6.0

There is a newer install of WGCNA

Weighted correlation network analysis (WGCNA) can be used for finding clusters (modules) of highly correlated genes, for summarizing such clusters using the module eigengene or an intramodular hub gene, for relating modules to one another and to external sample traits (using eigengene network methodology), and for calculating module membership measures.

Accessing WGCNA 1.69-foss-2019a-R-3.6.0

To load the module for WGCNA 1.69-foss-2019a-R-3.6.0 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load WGCNA/1.69-foss-2019a-R-3.6.0

BEAR Apps Version

2019a

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

• WGCNA 1.69

More Information

For more information visit the WGCNA website.

Dependencies

This version of WGCNA has a direct dependency on: foss/2019a R/3.6.0-foss-2019a R-bundle-Bioconductor/3.9-foss-2019a-R-3.6.0

Other Versions

These versions of WGCNA are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 27th May 2020