Hoffman2:Modules: Difference between revisions
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==CCN Hoffman2 modules== | ==CCN Hoffman2 modules== | ||
===AFNI=== | ===AFNI=== | ||
[AFNI https://afni.nimh.nih.gov/] (Analysis of Functional NeuroImages) is a set of C programs for processing, analyzing, and displaying functional MRI (FMRI) data - a technique for mapping human brain activity. | |||
Start an [interactive session https://www.hoffman2.idre.ucla.edu/computing/interactive-session/] on a compute node with qrsh. Then at the compute node shell prompt, enter: | |||
module load afni | |||
To run afni, enter: | |||
afni | |||
===FSL=== | ===FSL=== | ||
===FreeSurfer=== | ===FreeSurfer=== |
Revision as of 18:30, 17 April 2017
Environmental modules allow users to dynamically modify their shell environment (e.g., $PATH, $LD_LIBRARY_PATH, etc.) in order to support a number of applications installed on the Hoffman2 Cluster. CCN supports several modules on Hoffman2 including: AFNI, ANTs, Caret, FreeSurfer, FSL, ITKGray, ITK-SNAP, and MRIcron
Enabling the CCN Hoffman2 modules
- SSH into Hoffman2
- Use your favorite text editor (e.g. vim) to edit the file
~/.bash_profile
$ vim ~/.bash_profile
- Insert these lines at the bottom of the file
- Type
G
- (capital G) to go to the end of the file - Type
A
- (capital A) to go to the end of the line and enter insert mode - Type
ENTER
- to insert a newline - Type or paste in the lines below.
module use /u/project/CCN/apps/modulefiles umask 007
- Type
- Save the file by typing
ESC + ":wq" + ENTER
- Log out of Hoffman2 and the next time you log in, everything will be set for you to start working.
CCN Hoffman2 modules
AFNI
[AFNI https://afni.nimh.nih.gov/] (Analysis of Functional NeuroImages) is a set of C programs for processing, analyzing, and displaying functional MRI (FMRI) data - a technique for mapping human brain activity.
Start an [interactive session https://www.hoffman2.idre.ucla.edu/computing/interactive-session/] on a compute node with qrsh. Then at the compute node shell prompt, enter:
module load afni
To run afni, enter:
afni