On Thu, Jun 15, 2017 at 1:00 PM, <[email protected]> wrote:

> Dear Chris,
>
> Thank you for all your contributions to reproducible science! I've read
> your documentation and watched your neurohackweek video which have been
> really helpful, but I am still unclear on the specific command used to run
> the HCPpipeline BIDSapp using Singularity on an HPC. I see instructions for
> Docker commands here
> <https://github.com/BIDS-Apps/HCPPipelines/blob/master/README.md>, but
> not Singularity,
>
There is more information here: http://bids-apps.neuroimaging.io/tutorial/
and in the paper
http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005209


> I ran the following commands on my local computer to convert the image
> from docker to singularity:
>
> $ docker run --privileged -ti --rm  -v 
> /var/run/docker.sock:/var/run/docker.sock
> -v /Users/estee/Desktop/singularity_images:/output
> filo/docker2singularity bids/example:0.0.4
>
> Then I transferred this image to my HPC system (now named:
> bids_example_0.0.4-2016-08-28-fba9b3e0a751.img)  and installed
> Singularity. Is this the correct image file I should be using?
>
This command will create an image for the example app. To create one for
the  HCP Pipelines you need to replace "bids/example:0.0.4" with
"bids/hcppipelines:v3.17.0-13"

What is the specific command I should be running to preprocess one subject
> using Singularity? Should I be running the run.py script within
> singularity? And how do I specify the subjectID or directory?
>
./name_of_the_image.img <input_bids_directory> <output_directory>
participant --participant_label <label>

You need to replace <input_bids_directory> <output_directory> <label> with
values corresponding to your dataset.

Please mind that HCP pipelines only work on datasets that include T2
weighted images and fieldmaps!

Best,
Chris



>
>
> Thanks,
> Paola
>
>
> On Sunday, September 11, 2016 at 1:03:32 AM UTC-4, Chris Gorgolewski wrote:
>>
>> 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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