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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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## 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 examples but is very complex and may be hard to understand due to complex interactions.
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# Page Navigation
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**Tutorial Steps**
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* [Requirements](tutorial-requirements)
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* [Install EEGLAB](tutorial-eeglab)
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* [Creating HTB Files](tutorial-creating-htb-files)
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* [Creating Configuration Files](tutorial-creating-config-files)
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* [Creating a Context Configuration File](tutorial-creating-a-context-configuration-file)
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* [Running your job locally](tutorial-running-locally)
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* [Running your job remotely](tutorial-running-remotely)
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**Batch Context Main Components**
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* [Script Files](script-files)
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* [Configuration Files](configuration-files)
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* [Adv. String Swapping Techniques](adv-str-swap)
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* [Contributing and Contacting Us](contributing)
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# Tutorials and Best Practice
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There are three symbols that you should keep an eye out for in this documentation:
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* :so: These stars highlight our recommended **Best Practices**.
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* :b: The letter B indicates an **Example** based off of the BUCANL Pipeline Tutorials.
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* :warning: This warning indicates when you have to **Change a Tutorial File** if you are using one of the EEG_pipe packages
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***
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* :floppy_disk: Please note that whenever you make a change to a GUI(Graphic User Interface) field box, you must click off of it so that the field box is **not** highlighted, for EEGLAB to record your change.
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All of these components will need to be selected and/or loaded into the main batch context user interface before the batch can be executed. Running your data files in a batch is an effective way to execute scripted pipelines, modules or procedures on large sets of data files.
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:so: Download the [Tutorial Pipeline](tutorials) and work your way through the wiki pages. If you want to get right to running a job go to [Running scripts](running-scripts) and use :b: provided files.
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## Attribution
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*Code written by James A. Desjardins, Allan Campopiano, Andrew Lofts, Mike Cichonski, and Brad Kennedy,
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