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Update JupyTool
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@@ -240,7 +240,7 @@ except FileNotFoundError:
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</test>
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</tests>
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<help>
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Welcome to the JupyTool! Here you can create, run, and share custom Galaxy tools based upon Jupyter Notebooks.
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Welcome to the **JupyTool**! Here you can create, run, and share custom Galaxy tools based upon Jupyter Notebooks.
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The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations,
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visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization,
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@@ -250,8 +250,13 @@ except FileNotFoundError:
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do the heavy lifting and data reduction steps in Galaxy and the plotting and more `interactive` part on smaller datasets in Jupyter.
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You can start with a new Jupyter notebook from scratch or load an already existing one, e.g. from your colleague and execute it on your dataset.
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If you have a defined input dataset you can even execute a Jupyter notebook in a workflow, given that the notebook is writing the output back to the history.
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You can specify any number of user-defined inputs using the repeat input, providing `name` value, selecting the type of input, and then providing values.
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You can import data into the notebook via a predefined `get()` function and write results back to Galaxy with a `put()` function.
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You can make the JupyTool reusable in a workflow, by allowing the user to specify input values for the defined input blocks.
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Inputs can be accessed by `name` from the automatically provided `GALAXY_INPUTS` dictionary.
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Outputs can be written automatically to the user's history by writing to the `outputs` directory for one individual file or to the `outputs/collection` directory for multiple files.
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Using collection tools, you can parse out the individual elements from the collection, as needed.
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For backwards compatibility, you can import data into the notebook via a predefined `get()` function and write results back to Galaxy with a `put()` function.
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</help>
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</tool>
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