BARACUS is a BIDS-compliant application that predicts brain age, based on combining data from cortical thickness, cortical surface area, and subcortical information
Allocate an interactive session and run the program.
Sample session (user input in bold):
[user@biowulf]$ sinteractive salloc.exe: Pending job allocation 46116226 salloc.exe: job 46116226 queued and waiting for resources salloc.exe: job 46116226 has been allocated resources salloc.exe: Granted job allocation 46116226 salloc.exe: Waiting for resource configuration salloc.exe: Nodes cn3144 are ready for job [user@cn3144 ~]$ module load baracus [user@cn3144 ~]$ baracus -h usage: run_brain_age_bids.py [-h] [--participant_label PARTICIPANT_LABEL [PARTICIPANT_LABEL ...]] [--freesurfer_dir FREESURFER_DIR] [--models {Liem2016__OCI_norm,Liem2016__full_2samp_training} [{Liem2016__OCI_norm,Liem2016__full_2samp_training} ...]] [--skip_missing] --license_key LICENSE_KEY [--n_cpus N_CPUS] [-v] bids_dir out_dir {participant,group} BARACUS: Brain-Age Regression Analysis and Computation Utility Software. BIDS mode. You specify a BIDS-formatted freesurfer folder as input. All data is extracted automatiacally from that folder. positional arguments: bids_dir The directory with the input dataset formatted according to the BIDS standard. out_dir Results are put into {out_dir}/baracus. {participant,group} Level of the analysis that will be performed. "participant": predicts single subject brain age, "group": collects single subject predictions. optional arguments: -h, --help show this help message and exit --participant_label PARTICIPANT_LABEL [PARTICIPANT_LABEL ...] The label of the participant that should be analyzed. The label corresponds to sub-from the BIDS spec (so it does not include "sub-"). If this parameter is not provided all subjects should be analyzed. Multiple participants can be specified with a space separated list. --freesurfer_dir FREESURFER_DIR Folder with FreeSurfer subjects formatted according to BIDS standard. If subject's recon-all folder cannot be found, recon-all will be run. If not specified freesurfer data will be saved to {out_dir}/freesurfer --models {Liem2016__OCI_norm,Liem2016__full_2samp_training} [{Liem2016__OCI_norm,Liem2016__full_2samp_training} ...] --skip_missing Flag to skip not segmented subjects --license_key LICENSE_KEY FreeSurfer license key - letters and numbers after "*" in the email you received after registration. To register (for free) visit https://surfer.nmr.mgh.harvard.edu/registration.html --n_cpus N_CPUS Number of CPUs/cores available to use. -v, --version show program's version number and exit [user@cn3144 ~]$ exit salloc.exe: Relinquishing job allocation 46116226 [user@biowulf ~]$
Create a batch input file (e.g. baracus.sh). For example:
#!/bin/bash # sbatch --gres=lscratch:100 --mem=3g --cpus-per-task=48 --time=10:00:00 baracus.sh set -e function fail { echo "FAIL: $@" >&2 exit 1 # signal failure } module load baracus cp /data/$USER/BARACUS_TEST/ds001.tar.gz /lscratch/$SLURM_JOB_ID/. cd /lscratch/$SLURM_JOB_ID tar -xzvf ds001.tar.gz baracus --participant_label 01 \ --license_key /usr/local/apps/freesurfer/license.txt \ --n_cpus $SLURM_CPUS_PER_TASK \ /lscratch/$SLURM_JOB_ID/ds001 \ /lscratch/$SLURM_JOB_ID \ participant cp -R /lscratch/$SLURM_JOB_ID/baracus /data/$USER/BARACUS_TEST/. cp -R /lscratch/$SLURM_JOB_ID/freesurfer /data/$USER/BARACUS_TEST/.
Submit this job using the Slurm sbatch command.
sbatch [--gres=lscratch:#] [--cpus-per-task=#] [--mem=#] baracus.sh
Create a swarmfile (e.g. baracus.swarm). For example:
# swarm -f baracus.swarm --gres=lscratch:100 -g 4 -t 48 --time 10:00:00 --module baracus cp /data/$USER/BARACUS_TEST/ds001.tar.gz /lscratch/$SLURM_JOB_ID/.; \ cd /lscratch/$SLURM_JOB_ID; \ tar -xzvf ds001.tar.gz; \ baracus --participant_label 01 \ --license_key /usr/local/apps/freesurfer/license.txt \ --n_cpus $SLURM_CPUS_PER_TASK \ /lscratch/$SLURM_JOB_ID/ds001 \ /lscratch/$SLURM_JOB_ID \ participant; \ mv /lscratch/$SLURM_JOB_ID/baracus /data/$USER/BARACUS_TEST/baracus_01; \ mv /lscratch/$SLURM_JOB_ID/freesurfer /data/$USER/BARACUS_TEST/freesurfer_01 cp /data/$USER/BARACUS_TEST/ds001.tar.gz /lscratch/$SLURM_JOB_ID/.; \ cd /lscratch/$SLURM_JOB_ID; \ tar -xzvf ds001.tar.gz; \ baracus --participant_label 02 \ --license_key /usr/local/apps/freesurfer/license.txt \ --n_cpus $SLURM_CPUS_PER_TASK \ /lscratch/$SLURM_JOB_ID/ds001 \ /lscratch/$SLURM_JOB_ID \ participant; \ mv /lscratch/$SLURM_JOB_ID/baracus /data/$USER/BARACUS_TEST/baracus_02; \ mv /lscratch/$SLURM_JOB_ID/freesurfer /data/$USER/BARACUS_TEST/freesurfer_02
Submit this job using the swarm command.
swarm -f baracus.swarm [--gres=lscratch:#] [-g #] [-t #] --module baracuswhere
-gres=lscratch:# | Number of Gigabytes of local disk space allocated per process (1 line in the swarm command file) |
-g # | Number of Gigabytes of memory required for each process (1 line in the swarm command file) |
-t # | Number of threads/CPUs required for each process (1 line in the swarm command file). |
--module baracus | Loads the baracus module for each subjob in the swarm |