BIDS-Apps/rsHRF

Name: rsHRF

Owner: BIDS Apps

Description: null

Created: 2017-09-07 20:08:52.0

Updated: 2017-09-11 22:31:44.0

Pushed: 2017-09-08 09:42:47.0

Homepage: null

Size: 49

Language: Python

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README

An example BIDS App (template repository)

Every BIDS App needs to follow a minimal set of command arguments common across all of the Apps. This allows users and developers to easily use and integrate BIDS Apps with their environment.

This is a minimalist example of a BIDS App consisting of a Dockerfile and a simple entry point script (written in this case in Python) accepting the standard BIDS Apps command line arguments. This repository can be used as a template for new BIDS Apps.

For more information about the specification of BIDS Apps see here.

Description

This is a placeholder for a short description explaining to the user what your App will doing.

Documentation

Provide a link to the documention of your pipeline.

How to report errors

Provide instructions for users on how to get help and report errors.

Acknowledgements

Describe how would you would like users to acknowledge use of your App in their papers (citation, a paragraph that can be copy pasted, etc.)

Usage

This App has the following command line arguments:

    usage: run.py [-h]
                  [--participant_label PARTICIPANT_LABEL [PARTICIPANT_LABEL ...]]
                  bids_dir output_dir {participant,group}

    Example BIDS App entry point script.

    positional arguments:
      bids_dir              The directory with the input dataset formatted
                            according to the BIDS standard.
      output_dir            The directory where the output files should be stored.
                            If you are running a group level analysis, this folder
                            should be prepopulated with the results of
                            the participant level analysis.
      {participant,group}   Level of the analysis that will be performed. Multiple
                            participant level analyses can be run independently
                            (in parallel).

    optional arguments:
      -h, --help            show this help message and exit
      --participant_label PARTICIPANT_LABEL [PARTICIPANT_LABEL ...]
                            The label(s) of the participant(s) that should be
                            analyzed. The label corresponds to
                            sub-<participant_label> from the BIDS spec (so it does
                            not include "sub-"). If this parameter is not provided
                            all subjects will be analyzed. Multiple participants
                            can be specified with a space separated list.

To run it in participant level mode (for one participant):

docker run -i --rm \
    -v /Users/filo/data/ds005:/bids_dataset:ro \
    -v /Users/filo/outputs:/outputs \
    bids/example \
    /bids_dataset /outputs participant --participant_label 01

After doing this for all subjects (potentially in parallel), the group level analysis can be run:

docker run -i --rm \
    -v /Users/filo/data/ds005:/bids_dataset:ro \
    -v /Users/filo/outputs:/outputs \
    bids/example \
    /bids_dataset /outputs group

Special considerations

Describe whether your app has any special requirements. For example:

• Multiple map reduce steps (participant, group, participant2, group2 etc.)
• Unusual memory requirements
• etc.