FSL === We are automatically following the FSL 5 release history of `Neurodebian `_. To use FSL in your jobs, activate it with environment modules .. code-block:: bash module load fsl or, manually: .. code-block:: bash source /etc/fsl/5.0/fsl.sh Afterwards the :file:`PATH` variable should be set correctly to find the FSL programs. You can test this with `which feat` or with `echo $FSL_DIR`. FEAT ---- Analyzing fMRI data is often done with FSL's feat. Although it's a GUI program, individual models are defined by a design file and can be started on the command line with :program:`feat design.fsf` This makes :program:`feat` an ideal candidate for parallel job submission. Assume you've got a template :file:`design.fsf` with placeholder values for different subject ids **%SUBJECT%** and runs **%RUN%**. The following script will generate individual design files from the template and submit a feat job for all combinations of subjects and runs in parallel all in one go: .. code-block:: bash for subject in ID1 ID2 ID3; do for run in 1 2 3 ; do # create a copy of the template with a unique name featfile="design.${subject}.${run}.fsf" cp design.template $featfile # replace the placeholder by actual values sed -i "s|%SUBJECT%|$subject|g" $featfile sed -i "s|%RUN%|$run|g" $featfile # submit the feat command with the current design file sbatch --wrap "module load fsl ; feat $featfile" done done FIX --- We have set up a running version of `FSL Fix `_. Currently it is not using FSL's internal qsub so it only makes sense to parallelize over a number of subjects. Example: .. code-block:: bash for icadir in *ica ; do echo '#!/bin/bash" > tmp.sh echo "module load fsl_fix" >> tmp.sh echo "source /etc/fsl/5.0/fsl.sh" >> tmp.sh echo "fix ${icadir} /opt/software/fix/1.06/training_files/Standard.RData 20" >> tmp.sh sbatch -J fix_foobar tmp.sh done The :file:`fsl_fix` module will also load a special R environment module which will add a library location to R's :file:`.libPaths()` containing necessary packages.