AFNI 18.3.00-foss-2019a-Python-3.7.2AFNI is a set of C programs for processing, analyzing, and displaying functional MRI (FMRI) data - a technique for mapping human brain activity.
Accessing AFNI 18.3.00-foss-2019a-Python-3.7.2
To load the module for AFNI 18.3.00-foss-2019a-Python-3.7.2 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load AFNI/18.3.00-foss-2019a-Python-3.7.2
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 AFNI website.
This version of AFNI has a direct dependency on: expat/2.2.6-GCCcore-8.2.0 foss/2019a GLib/2.60.1-GCCcore-8.2.0 GSL/2.5-GCC-8.2.0-2.31.1 libjpeg-turbo/2.0.2-GCCcore-8.2.0 libpng/1.6.36-GCCcore-8.2.0 motif/2.3.8-foss-2019a PyQt5/5.12.1-GCCcore-8.2.0-Python-3.7.2 Python/3.7.2-GCCcore-8.2.0 R/3.6.0-foss-2019a tcsh/6.20.00-GCCcore-8.2.0 X11/20190311-GCCcore-8.2.0 zlib/1.2.11-GCCcore-8.2.0
Last modified on 29th November 2019