Introduction to Terra (The Course)
The health and life sciences data revolution has arrived. Accurate and inexpensive genome sequencing is a reality, high-resolution imaging is becoming routine, and clinical data is increasingly available in machine-readable formats. These breakthroughs bring us to the threshold of a new era in biomedicine, one where the data sciences hold the potential to propel our understanding and treatment of human disease.
Enter Terra (http://terra.bio), a scalable platform for biomedical research. Terra's mission is to enable the next generation of collaborative biomedical research by building an open platform that connects researchers to each other and to the datasets and tools they need to achieve scientific breakthroughs. This course is meant to provide a guided learning experience that gives you a foundational understanding of Terra and the key concepts underpinning its principles and intended applications.
By the end of this course, you will be able to:
1) Describe Terra's goals and its guiding principles,
2) Name the types of analysis that you can do in Terra,
3) Define key cloud computing components that will enable you to work in Terra,
4) Securely access Terra with your own account,
5) Access Terra support to learn more and get help when you need it,
6) Articulate your next steps to getting started with Terra.
- Course materials
- Course discussion
- Terra overview
- New to cloud
- Quiz 1
- Quiz 1 answers
- Create a Terra account
- Account registration
- Terra and data in the cloud
- The workspace
- Types of analyses in Terra
- Quiz 2
- Quiz 2 answers
- Learning more and getting help
- Terra Support Center
- Community Forum
- Talk to us directly
- Next steps
- Set up billing
- Take another course
- Clone a tutorial workspace
- Course summary
- Course survey
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