This repository houses a collection of proof-of-concept projects and reference architectures for modernizing genomic data analysis on Google Cloud. Each project has been implemented, verified, and documented.
A cloud-native platform that replaces legacy HPC files with a high-speed "Data Factory," using Cloud Batch for elastic variant calling and BigQuery for population-scale SQL analytics.
A privacy-preserving architecture that connects multiple "Sovereign Nodes" (built on the Multiomics stack) to train global AI models without ever moving patient data across borders, ensuring GDPR/HIPAA compliance.
Read the two-part blog series detailing the vision and implementation of these projects:
- Part 1: From Files to Insights – How we modernized the single lab (The Multiomics Project).
- Part 2: Collaboration Without Compromise – How we connected the labs globally (The Federated Project).