What did we learn today?

In just a few short hours you learned how to:
- Identify sequence read accessions from a publication to retrieve the raw data from NCBI's SRA database

- Search for sequence data of interest by querying a massive table of SRA metadata in AWS Athena.

- Use an AWS EC2 instance to retrieve SRA sequence data and align it to the Human Reference Genome using MagicBLAST

- Import the alignment results from your AWS S3 Bucket into NCBI's Genome Data Viewer to compare differences between the patient's genome and the reference genome

- Use NCBI's Genome Data Viewer to characterize potential clinical assertions from the structural differences in your patient's genome

This concludes our exercise on navigating the AWS Cloud computing console and several of its most popular cloud services for biological sciences!! We hope that you are motivated to take these skills and tools with you and explore how they can benefit your own research. You can find links to official tutorials for many of these tools (both AWS & NCBI) as well as instructions for setting up your own AWS account in the References section.

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