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We are automatically following the FSL 5 release history of `Neurodebian <http://neuro.debian.net>`_.
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"
We have set up a running version of `FSL Fix <https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FIX>`_.
Currently it is not using FSL's internal qsub so it only makes sense to
parallelize over a number of subjects. Example:
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
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.