Deprecated: Use of this version of WGCNA is deprecated. More information on our Applications Support and Retention Policy.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 1.70-3-foss-2020a-R-4.0.0
To load the module for WGCNA 1.70-3-foss-2020a-R-4.0.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load WGCNA/1.70-3-foss-2020a-R-4.0.0
BEAR Apps Version
For more information visit the WGCNA website.
This version of WGCNA has a direct dependency on: foss/2020a R/4.0.0-foss-2020a R-bundle-Bioconductor/3.11-foss-2020a-R-4.0.0
This version of WGCNA is a direct dependent of: iterativeWGCNA/1.1.6-foss-2020a-Python-3.8.2-R-4.0.0
These versions of WGCNA are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
|Version||BEAR Apps Version|
Last modified on 29th June 2021