Workflows

These workflows are associated with A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy

To use these workflows in Galaxy you can either click the links to download the workflows, or you can right-click and copy the link to the workflow which can be used in the Galaxy form to import workflows.

gpu_jupytool

Last updated Jan 18, 2023

Launch in Tutorial Mode question
License: None Specified, defaults to CC-BY-4.0
Tests: ❌ Results: Not yet automated

flowchart TD
  0["ℹ️ Input Dataset\nIPynb notebook"];
  style 0 stroke:#2c3143,stroke-width:4px;
  1["train_rows"];
  2["ℹ️ Input Dataset\ntest_rows"];
  style 2 stroke:#2c3143,stroke-width:4px;
  3["ℹ️ Input Dataset\ntest_rows_labels"];
  style 3 stroke:#2c3143,stroke-width:4px;
  4["GPU enabled Interactive Jupyter Notebook for Machine Learning"];
  0 -->|output| 4;
  1 -->|out_file1| 4;
  2 -->|output| 4;
  3 -->|output| 4;
  5["Cut"];
  4 -->|output_collection| 5;
	

Importing into Galaxy

Below are the instructions for importing these workflows directly into your Galaxy server of choice to start using them!
Hands-on: Importing a workflow
  • Click on Workflow on the top menu bar of Galaxy. You will see a list of all your workflows.
  • Click on galaxy-upload Import at the top-right of the screen
  • Provide your workflow
    • Option 1: Paste the URL of the workflow into the box labelled “Archived Workflow URL”
    • Option 2: Upload the workflow file in the box labelled “Archived Workflow File”
  • Click the Import workflow button

Below is a short video demonstrating how to import a workflow from GitHub using this procedure:

Video: Importing a workflow from URL