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Pipelines
- Haofei Feng (Unlicensed)
- Ryan Sullivan
- Nick Miller (Unlicensed)
Pipelines in XNAT are powerful mini-applications that can be run on your project data, to aid in complex processing or leverage the power of large computing clusters. Some pipeline-enabled workflows are carried out automatically without any human intervention, like auto-QC'ing images as they are added to your project archive. Others require a person to do manual steps, such as drawing a region of interest.
When pipelines are integrated into your project, you can:
- set up project-based workflows with project specific and experiment specific parameters,
- track a pipeline and send email notifications, and
- capture provenance information as the pipeline executes.