Hi Chris,

This is great work and I think will be a serious asset to those looking to run 
HCP pipelines on their data.  Can you explain what steps you've taken to adapt 
the pipelines to work with the BIDS format?  Conversely, have you taken any 
steps to adapt the existing HCP packages to work with these containers?

-Dan

From: 
<[email protected]<mailto:[email protected]>>
 on behalf of Chris Gorgolewski 
<[email protected]<mailto:[email protected]>>
Date: Sunday, September 11, 2016 at 12:03 AM
To: Hcp Users 
<[email protected]<mailto:[email protected]>>, 
"[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Subject: [HCP-Users] HCP Pipelines BIDS App

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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