AFNI 18.3.00-foss-2019a-Python-3.7.2

AFNI 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 and BEAR Cloud VMs):

📋 module load AFNI/18.3.00-foss-2019a-Python-3.7.2

BEAR Apps Version

2019a

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used 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.

More Information

For more information visit the AFNI website.

Dependencies

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

Required By

This version of AFNI is a direct dependent of: FMRIprep/20.2.0-foss-2019a-Python-3.7.2 FMRIprep/1.5.1-foss-2019a-Python-3.7.2 FMRIprep/20.0.6-foss-2019a-Python-3.7.2

Last modified on 29th November 2019