Case Study: Fabric Genomics achieves rapid, scalable genomic interpretation—cutting analysis from weeks to hours with Amazon Web Services

A Amazon Web Services Case Study

Preview of the Fabric Genomics Case Study

Fabric Genomics - Customer Case Study

Fabric Genomics is a software company that delivers end‑to‑end genomic analysis, annotation, and clinical reporting for hospitals, clinical labs, life‑science companies, and research institutions. Using machine‑learning and proprietary algorithms (VAAST and Phevor), the platform must handle massive sequencing files, stringent security and regulatory requirements, and deliver extreme speed and scalability so clinicians can identify disease‑causing variants for critically ill patients quickly.

To meet this need, Fabric Genomics runs its variant‑discovery and interpretation workloads on AWS (EC2 with Intel® Xeon processors, S3, and high‑throughput EBS), enabling rapid variant ranking, review, and reporting. The result: interpretation times that went from industry averages of weeks to hours (genome interpretation in minutes), faster, more accurate diagnoses for patients, the ability to scale to thousands of genomes concurrently, and global deployment with strong PHI security and compliance.


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Fabric Genomics

Martin Reese

Founder


Amazon Web Services

2483 Case Studies