Terra's mission is to help accelerate your research process of turning data into publication-worthy insights by taking the administrative burden out of data science. The platform integrates data, analysis tools, and built-in security components to deliver frictionless research flows from data to results.
We'd love for you to join the community, and see how a cloud-native platform - built for and by the people that delivered GATK - can transform your bioinformatics research.
1. Register for an account
Registering for Terra is free - all that's required is a Google account. This could be a gmail, an institutional or G-suite email, or an account associated with a non-Google address. Sign in with this Google account to register from the drop down menu found in the top left corner of app.terra.bio.
Once you sign in and click that you accept the Terms of Service, you will have registered on Terra!
2. Claim free credits
In order to create or clone a new workspace in Terra, process data with workflows or analyze data in notebooks, you must have access to at least one Terra Billing Project.The free credit program gives newcomers to the platform an opportunity to try it out at no cost. To receive free credits, complete the initial registration, log in, click the "sign up for free credits" banner, and accept the Terms and Conditions. You can find more details and free credits FAQs here.
3. Explore curated workspaces
Workspaces are the fundamental working unit in Terra - one place that contains all the components for a research project - where you can organize and share data and tools, and run analyses.
Featured or Showcase workspaces are reproducible, curated template workspaces for a variety of use-cases, and can be an excellent place to start getting a sense of what you can do on the platform. Read more about Featured and Showcase workspaces, or check out what's available under the "Showcase and Tutorial" section in the Library drop down menu.
Curated workspaces run the gamut of primer and tutorial workspaces (including a Terra Quickstart, Jupyter notebooks 101, and a Hail tutorial), analysis-focused, dataset-focused, and workflow-focused workspaces as well as GATK Best Practices.