https://github.com/lynnlangit/aws-for-bioinformatics

AWS for Bioinformatics Researchers
https://github.com/lynnlangit/aws-for-bioinformatics

athena aws aws-batch awsbatch bioinformatics ec2 genomics nextflow sagemaker

Last synced: 16 days ago
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AWS for Bioinformatics Researchers

• Host: GitHub
• URL: https://github.com/lynnlangit/aws-for-bioinformatics
• Owner: lynnlangit
• License: apache-2.0
• Created: 2022-03-29T14:48:00.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-22T16:06:14.000Z (3 months ago)
• Last Synced: 2024-08-22T18:23:04.731Z (3 months ago)
• Topics: athena, aws, aws-batch, awsbatch, bioinformatics, ec2, genomics, nextflow, sagemaker
• Language: Jupyter Notebook
• Homepage:
• Size: 118 MB
• Stars: 114
• Watchers: 7
• Forks: 27
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# AWS for Bioinformatics



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. 

## What's Here?

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

- 📺 **aws-for-bioinformatics** playlist on YouTube - [link](https://www.youtube.com/playlist?list=PL4Q4HssKcxYt48KtjpILjwTT-6s-zziDj). 

  - 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.

- NOTE: This course is a WIP, I'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. Bioinformatics data, tools and libraries are used in examples.

  - for detail about the scenarios see the `Reference` section - [link](https://github.com/lynnlangit/aws-for-bioinformatics/tree/main/7_REF_Info)

---

## Learn More

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](https://www.linkedin.com/learning/instructors/lynn-langit)

- :octocat: Lynn's general **AWS Repo** with information about many AWS Data Services - [link](https://github.com/lynnlangit/Hello-AWS-Data-Services)

- :octocat: Lynn's general **AWS Repo** with information about AWS Cost Control - [link](https://github.com/lynnlangit/aws-cost-control)