Developer resources

We help developers build and test their implementations of GA4GH technical specifications. Data providers and users alike can use our tools to find and fix pain points. These resources were first developed by by the Federated Analysis Systems Project (FASP), a predecessor to the GA4GH Implementation Forum.

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These tutorials provide a step-by-step guide for using GA4GH APIs in the real world. Data consumers and researchers can try using Jupyter notebooks to access GA4GH services. Data providers can explore deploying GA4GH services with the Starter Kits (see below). On the GitHub repository:

• Sessions 1, 2, and 3 provide tools to run end-to-end tasks, relying on implementations of GA4GH services by a range of institutions.
• Starter Kits Part I and II advises on how to deploy and use the Starter Kits, an ecosystem of reference implementations of GA4GH APIs.

The GA4GH Starter Kit is a suite of open-source reference implementations of GA4GH APIs. You can deploy these implementations in a variety of contexts. The codebase is easy to update with prototype features, so Starter Kits keep up with the latest versions of GA4GH products. Currently, you can access Starter Kits for:

• Data Repository Service (DRS)
• Workflow Execution Service (WES)
• Data Connect

The GA4GH Starter Kit is primarily developed by staff software developers and engineers.

The fasp-scripts library helps data consumers use the GA4GH services by providing Python clients that can connect with implementations of GA4GH APIs. For example, DRSClient.py can connect with the Seven Bridges implementation of the Data Repository Service (DRS). Each client has its own repository, available at https://github.com/ga4gh/fasp-clients. In fasp-scripts:

• See the README document for a list of all included clients.
• Access Python notebooks that demonstrate how the clients connect with existing GA4GH API implementations.