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ASAP CRN Learning Lab

A modular learning resource for researchers working with ASAP CRN data. You can access all tutorials and resources on the asap-crn-learning-lab Github repository.

ASAP CRN data workflow

Request access & discover data in the ASAP CRN Data Portal → Analyze data in Verily Workbench. For access steps, see Prerequisite: Data Access

Prerequisite: ASAP CRN Cloud Data Access

Access required

You will not be able to access ASAP CRN data or run analyses in Verily Workbench until your data access request has been approved through the ASAP CRN Cloud.

The CRN Cloud is the central platform for data access, metadata review, and permissions management across the CRN ecosystem. Before beginning any analysis, you must first obtain access to the relevant ASAP CRN data collections through the ASAP CRN Cloud.

Requesting Access via the ASAP CRN Cloud:

  1. Navigate to the ASAP CRN Cloud Data Portal:
    🔗 ASAP CRN Cloud - Data Collections
  2. Click Log In in the upper right corner and log in with either a google or microsoft account.
  3. Select any collection tile and choose Apply for Access.
  4. Accept the ASAP CRN Data Use Agreement and fill out the application form with your appropriate information.

Once your request is approved, you will receive an email confirming that your account has been granted access to the available collections through the ASAP CRN Cloud.

For detailed instructions on the access process, see the 📘 ASAP CRN Cloud User Manual (PDF)

Start Here

  1. Read the Starter Guide
    Begin with Getting Started with Verily Workbench to learn how to connect to Verily Workbench and set up your workspace.

  2. Choose Your Path

  3. Pilot Workshop Series
    Build core skills through a 3-part introduction to Verily Workbench, CRN Cloud data access, and exploratory analysis.

  4. Python and R Sample Notebooks
    Start with lightweight orientation notebooks that show how to find mounted resources, inspect metadata, and preview curated outputs.

    • Substantia Nigra Cell-Type Annotation Case Study
      Move into an applied research workflow using single-cell data from the substantia nigra. This case study walks through setup, preprocessing, MapMyCells reference mapping, marker-based validation, and export of analysis-ready outputs.