You can use AWS to address key bioinformatics use cases (categories shown above / image from AWS documentation). AWS includes tools and services which enable genomic researchers to ingest, process and analyze their genomic datasets using the elastic scale of the AWS cloud.

This repo hosts the our free and open source course "AWS for Bioinformatics". Course Materials include this repo and a YouTube playlist.

• 📺 aws-for-bioinformatics playlist on YouTube - link.
  • On the playlist are linked short 'AWS in action' screencasts --AND--
  • Also linked recordings of Lynn's public talks on building and deploying genomic solutions on AWS.
• 👩‍💻 Kelly Kermode is a major contributor to this course.
  • ❗IMPORTANT: This course is a WIP, we'll be adding more resources frequently.
  • Please watch this Repo to get updates when we add material.

This course covers a core AWS services used in a set of generic genomics reference architectures. We group these services by category (i.e. compute, storage, security, etc...) and explain in each section how and why to use these AWS services. We use bioinformatics data, tools and libraries as examples.

• for detail about the scenarios see the Reference section - link

I have created a number of courses and resources on building on AWS in general for LinkedIn Learning. These AWS courses include the following:

• 📚 Lynn's general AWS Courses on AWS topics on LinkedIn Learning
• Lynn's general AWS Repo with information about many AWS Data Services - link
• Lynn's general AWS Repo with information about AWS Cost Control - link