Case Study: Seven Bridges Genomics achieves scalable, cost-effective large-scale genome analysis with Amazon Web Services

Seven Bridges Genomics - Customer Case Study

Seven Bridges Genomics is a Cambridge, MA bioinformatics company that built IGOR, a cloud platform that lets researchers create and run complex next‑generation sequencing (NGS) analysis pipelines via an intuitive GUI. The company faced a data‑processing bottleneck as faster, cheaper sequencers produced massive, computation‑intensive datasets that many biologists couldn’t process on desktops or manage across server clusters.

Seven Bridges solved this by building IGOR on AWS, using EC2 for scalable compute (including Reserved Instances), S3/EBS snapshots for storage and reference data, Glacier for long‑term archiving, and a drag‑and‑drop pipeline interface that links open‑source and proprietary tools. The result: researchers can process hundreds of whole genomes in parallel, benefit from pay‑per‑use pricing with ~40% cost savings on common analyses, and retain large datasets affordably and securely for publication and collaboration.

Seven Bridges Genomics

Deniz Kural

CEO and Founder, Seven Bridges