iterativeWGCNA 1.1.6-foss-2020a-Python-3.8.2-R-4.0.0Extension of the WGCNA program to improve the eigengene similarity of modules and increase the overall number of genes in modules.
Accessing iterativeWGCNA 1.1.6-foss-2020a-Python-3.8.2-R-4.0.0
To load the module for iterativeWGCNA 1.1.6-foss-2020a-Python-3.8.2-R-4.0.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load iterativeWGCNA/1.1.6-foss-2020a-Python-3.8.2-R-4.0.0
BEAR Apps Version
EL8-cascadelake — EL8-haswell — Ubuntu20.04-haswell
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 iterativeWGCNA website.
This version of iterativeWGCNA has a direct dependency on: foss/2020a matplotlib/3.2.1-foss-2020a-Python-3.8.2 Python/3.8.2-GCCcore-9.3.0 R/4.0.0-foss-2020a rpy2/3.3.6-foss-2020a-Python-3.8.2 WGCNA/1.70-3-foss-2020a-R-4.0.0
This version of iterativeWGCNA is a direct dependent of: BEAR-R-bio/2020a-foss-2020a-R-4.0.0
Last modified on 29th June 2021