WGCNA 1.70-3-foss-2020a-R-4.0.0

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, BEAR Cloud VMs, and CaStLeS VMs):

module load WGCNA/1.70-3-foss-2020a-R-4.0.0

BEAR Apps Version

2018b

Extensions

  • WGCNA-1.70-3

More Information

For more information visit the WGCNA website.

Dependencies

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

Required By

This version of WGCNA is a direct dependent of: iterativeWGCNA/1.1.6-foss-2020a-Python-3.8.2-R-4.0.0

Other Versions

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

Version BEAR Apps Version
1.69-foss-2019a-R-3.6.0 2019a

Last modified on 29th June 2021