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## Benefits
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* Provides a simple front end interface for researchers to batch process scripted analysis pipelines on multiple data files
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* Save script and configuration files that contain everything that is required to replicate an analysis pipeline across data files or studies
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* Run jobs on clusters in highly parallel environments
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* Interact with different cluster schedulers in a portable way
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* Write your own adapters for your own custom schedulers in a contained way
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* Run jobs on clusters in a highly parallel environments
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* Submit jobs with dynamic resource parameters that optimize resource allocation leading to lower queue times in competitive resource allocations.
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* Provides simple front end to researchers to code written by programmers to submit data files to be processed in parallel
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* Share and save configurations that are submitted with each job
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* Submit jobs with dynamic resource parameters that optimize resource allocation leading to lower queue times in competitive resource allocations
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## Tutorial
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If you wish to make your own pipeline we suggest you use the tutorial below as guidance. The [bucanl ICA pipeline](https://git.sharcnet.ca/bucanl_pipelines/eeg_pipe_asr_amica) is a practical example but is very complex and may be hard to understand due to complex interactions.
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