Case Study: Regeneron achieves large-scale genomics breakthroughs in drug discovery with Amazon Web Services

Regeneron Brings Large-Scale Genomics to Drug Discovery Using AWS

Regeneron needed a way to analyze and share massive genomic datasets from millions of volunteers to accelerate drug discovery, but its on-premises infrastructure could not scale fast or cost-effectively enough. Working with Amazon Web Services, Regeneron used AWS services including Amazon EC2, Amazon S3, and Amazon EFS to process, store, and share large-scale sequencing data securely.

With Amazon Web Services, Regeneron accelerated exome sequencing, stored a petabyte of de-identified genomic and health data, and achieved 90% cost savings versus on-premises servers. By 2021, the Regeneron Genetics Center had sequenced over one million genomes at 10x the rate possible with local storage and compute, enabling global research collaboration and deeper “all-by-all” analyses for drug discovery.

Regeneron

Jeffrey Reid

Chief Data Officer