Science at Amazon Web Services (AWS)
- Science at Amazon
- AWS for Health
- Biopharma on AWS
- Genomics in the Cloud
- High Performance Computing for Healthcare & Life Sciences
- Machine Learning for Healthcare & Life Sciences
- Research and Technical Computing on AWS
- HealthTech
- re:Invent 2021 - Top 10 Announcements for Healthcare & Life Sciences
AWS Solutions
Life Sciences
Genomics
- AWS Quick Start: Deploy and Run DRAGEN CS on AWS
- AWS Quick Start: Deploy and Integrate Hail with AWS EMR
- Genomics Secondary Analysis on AWS
- Genomics Tertiary Analysis and Data Lakes on AWS
- Genomics Tertiary Analysis and Machine Learning on AWS
Blog Posts
Genomics
- Accelerating genome assembly with AWS Graviton2
- DRAGEN reanalysis of the 1000 Genomes Dataset now available on the Registry of Open Data
- Build a genomics data lake on AWS using Amazon EMR (Part 1)
- Perform interactive queries on your genomics data using Amazon Athena or Amazon Redshift (Part 2)
- Joint variant calling on AWS by NIH’s Undiagnosed Diseases Network
- Develop a serverless genotype-phenotype (gen-phen) database on AWS
- Process raw sequence files (FastQs) into Hi-C format (*.hic) on AWS
- Cromwell on AWS
- At-scale Genomic Data Compression, Storage, and Access Using PetaGene on AWS: Reference Architecture
- Building Simpler Genomics Workflows on AWS Step Functions
- At-scale Genomic Data Compression, Storage, and Access
Transcriptomics
- Processing extremely wide transcriptomic datasets
- Building a scalable image processing pipeline for image-based transcriptomics
Medical Imaging
Medical Text Analysis
Clinical Patient Data
Using Jupyter Notebooks
- How to set up a managed Jupyter environment using custom tools used in Life Sciences research
- FAIR Data Analysis