Documentation
Every step in the research journey in depth, from finding and managing data to analysis, whether running pipelines as batch processing jobs and interactive analysis in a Jupyter notebook.
Controlling costs (cloud storage, compute, and egress)
Workspaces: computational sandboxes for your research
Account setup & admin (including security)
Data in the cloud
Pipelining
- Getting started with GATK workflows in the cloud FAQs
- Finding the workflow (method) you need in the Methods Repository
- Configure a workflow to process your data
- Creating a list file of reads for input to a workflow
- Troubleshooting errors in Job Manager
- CPUs and persistent disk quotas: What are they and how do you request more? See all 8 articles
Visualization and Statistics (notebooks)
- Terra's Jupyter Notebooks environment Part I: Key components
- Terra's Jupyter Notebooks environment Part II: Key operations
- Terra's Jupyter Notebooks environment Part III: Best Practices
- "Edit" and "Playground" Notebook Modes
- Protecting data from an old notebook runtime (cluster)
- Copying notebook output to a Google bucket See all 12 articles