Access data, run analysis tools, and collaborate, in a unified platform. It sounds great, but how do you get started?
1. Register your account and claim free credits
In a cloud-native world, you only pay for the storage, compute power and egress that you use. If you are working with small data sets, this may be a very small amount. But it is still non-zero.
The first step is to register an account on Terra (this part is free)
Requires a Google account
See how to set up a Google account with a non-gmail address
Register at app.terra
Click on the menu at the top left, or follow these step-by-step instructions
Claim free credits
$300 in free credits helps you explore Terra before committing your own grant dollars
Click on the banner, or see this step-by-step guide
For an overview of working in Terra, see this guide on workspaces, your computational sandbox.
Explore a variety of curated use-cases
The workspace descriptions in our tutorial and showcase workspaces should have enough detail to allow you to run on the included sample data, and cost and time estimates give you the confidence to run on your own data.
2. Pipelining (aka workflows)
If you want to execute a set of data processing elements connected in series, where the output of one element is the input of the next one, you will likely use pipelining (called "workflows" on Terra). Ideal for analysis that can be automated, pipelining is typically used for batch analysis of genomics data, such as aligning reads, calling variants, joint-calling, and more.