WGCNA 1.70-3-foss-2020a-R-4.0.0Weighted 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
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR 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.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
For more information visit the WGCNA website.
This version of WGCNA is a direct dependent of: iterativeWGCNA/1.1.6-foss-2020a-Python-3.8.2-R-4.0.0
Last modified on 29th June 2021