Powering genetic rare disease diagnostics with AWS at Hannover Medical School (MHH)
Public Sector Blog
Hannover Medical School (MHH) has developed an innovative AWS-powered solution for genetic rare disease diagnostics, addressing computational challenges in whole genome sequencing (WGS).
- Implemented a cloud-based workflow for re-analyzing genomic data using Amazon S3, EC2, and AWS Batch
- Enables flexible analysis of complex genetic cases, particularly in pediatric diagnostics
- Reduces sample processing time to about an hour, up to 4-8 times faster than traditional methods
- Cost-effective at approximately $20 per genome analysis with pay-as-you-go pricing
- Maintains data privacy and security compliance with German healthcare regulations
The solution provides a hybrid approach to genetic analysis, offering scalability, efficiency, and advanced diagnostic capabilities for medical research and patient care.
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