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  • Prerequisites
  • Supported Cloud Platforms
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  1. Workbench

Getting Started

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Last updated 2 months ago

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Prerequisites

Before running workflows in Workbench, ensure your environment is properly configured. The initial setup is typically handled by IT administrators who manage computational resources and workflow execution engines in your environment.

Two key requirements must be in place before using Workbench:

  • Provisioned computational resources in your chosen environment

  • A configured running in a supported compute environment

For detailed information about engines and cloud backends, refer to the

Supported Cloud Platforms

Workbench supports multiple cloud platforms and execution services. You can run workflows through native cloud services or DNAstack WES, our GA4GH-compliant workflow execution service that works across all supported platforms.

Supported platforms and their execution services include:

  • Google Cloud Platform: Google or

  • Amazon Web Services:

  • Microsoft Azure: or

  • On-Premises:

is a workflow execution service developed by DNAstack as an alternative to the backend services provided natively by cloud providers. It implements the (WES) standard developed by the . DNAstack WES can also be used for on-premises workflow execution.

Getting Started

Once connected, you can:

  1. Find or import a WDL workflow

  2. Configure workflow inputs

  3. Submit and monitor the workflow

  4. Locate workflow outputs

Using Workbench involves a straightforward process. Begin by accessing the platform at . From there, you'll need to connect Workbench to your workflow execution engines - this is a one-time configuration step for each engine you plan to use.

workflow execution engine
engine deployment documentation.
Life Sciences API
DNAstack WES
AWS HealthOmics
Cromwell on Azure
DNAstack WES
DNAstack WES
DNAstack WES
Workflow Execution Service
Global Alliance for Genomics and Health (GA4GH)
https://workbench.omics.ai