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On AWS you can build and run data applications that are retrospective, real-time or predictive to accelerate the journey from genomic data to genomic insight. Reduce data processing times from week to hours and obtain early insights into diseases such as cancer, cystic fibrosis, and Alzheimer’s. Learn how AWS customers like

AstraZeneca

and

Fred Hutchinson

are lowering time-to-results, and running their genomics workloads at scale on AWS.

Whether you are running compute-intensive, FPGA, or GPU-accelerate based applications, you can find the right compute platform with Amazon EC2. If you are running compute intensive applications, read this

blog

to learn how you can significantly lower costs with AWS Graviton2. You can also use

AWS Batch

to orchestrate batch workloads and work with the any workflow language such as

Nextflow

,

DRAGEN

Cromwell

, and

NVIDIA Clara Parabricks

to run your analysis.

AWS Open Data Program

houses openly available datasets, with 40+ open life sciences and genomics datasets to enable frictionless collaboration, providing research and clinical communities with a single documented source of truth.