Dear HCP community,

Many researchers want to run HCP Pipelines on their own datasets, but run
into problems with software dependencies and different organization of data
and metadata. To help with this issue I have created an HCP Pipelines BIDS
App. Like all other BIDS Apps <http://bids-apps.neuroimaging.io/> the HCP
Pipelines one has the following features:

   - It's portable (meaning comes with all of the dependencies with the
   correct versions - no need to install FSL or Freesurfer).
   - Runs on Windows, Mac OS X and Linux (as well as HPCs or clusters via
   Singularity <http://bids-apps.neuroimaging.io/tutorial/>).
   - No need to specify any metadata - all you need as an input is a BIDS
   <http://bids.neuroimaging.io/>dataset .
   - The only software required (across all three platforms) is Docker
   <https://www.docker.com/>.
   - The App (which includes all dependencies) is versioned and all
   historical versions are preserved. This allows you to keep the same
   software stack intact during a longitudinal study spread over years.

The App was designed to parse the input datasets, figure out which scans
are available and run HCP pipelines with optimal parameters. I have tested
it with the HCP example subject, but if you have data you would like to
provide for testing purposes I would be very happy to take advantage of it.

I hope this will make HCP pipelines accessible to more researchers. Please
let me know what you think!

More information how to use the HCP Pipeline App can be found here:
https://github.com/BIDS-Apps/HCPPipelines

Best,
Chris Gorgolewski

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