The C-PAC gear is now hosted on GitLab
A configurable, open-source, Nipype-based, automated processing pipeline for resting state fMRI data. Designed for use by both novice users and experts, C-PAC brings the power, flexibility and elegance of Nipype to users in a plug-and-play fashion; no programming required.
The C-PAC website is located here: http://fcp-indi.github.com/
This gear downloads the BIDS directory structure from the associated flywheel session and processes it according to the selected parameters and the prefered pipeline configuration (default or the optional pipeline_file input).
The parameters that can be configured through the gear interface are:
- anat_only - Only run anatomical preprocessing.
- n_cpus - Number of execution resources available for the pipeline(==0: Use default).
- mem_mb - Amount of RAM available to the pipeline in megabytes. Included for compatibility with BIDS-Apps standard, but mem_gb is preferred (<=0: Use default of 6 GB).
- mem_gb - Amount of RAM available to the pipeline in megabytes. If this is specified along with mem_mb, this flag will take precedence.d (==0: Use default of 6 GB).
- save_working_dir - Save the contents of the working directory.
These are a subset of the parameters that can be specified in running the C-PAC pipeline from the command-line.
Extra parameters for troubleshooting and data-management:
- gear-save-output-on-error - Save the contents of the working directory to output on failure (can be large).
- gear-run-bids-validation - Run bids-validator on a the gear bids directory.
- gear-abort-on-bids-error - If bids-validator returns an error, abort gear execution.
For a supplied pipeline file, it is recommended to use a C-PAC configuration GUI to reduce the potential for errors.
The size of the zipped gear output will depend on the C-PAC pipeline settings. For example, the zipped output of the defaultpipeline can exceed 4 GB. However, using the --anat-only flag will reduce this to under 70 MB.