Question 1

What is a genomic data management platform and how is it different from a standard database?

Accepted Answer

A genomic data management platform is a specialized infrastructure layer designed to manage genomic variants, omic datasets, phenotype information, and clinical records at scale. Unlike traditional databases, it supports genomic reference versioning, annotation tracking, consent management, role-based access controls, immutable provenance, and analytics-ready genomic data architectures optimized for clinical and research genomics workloads.

Question 2

How do you build a HIPAA-compliant genomics data platform on cloud infrastructure?

Accepted Answer

A HIPAA-compliant genomics data platform uses VPC-isolated environments, encryption at rest and in transit, customer-managed encryption keys, least-privilege access controls, audit logging, and governed data workflows. NonStop designs compliant architectures on AWS, Google Cloud, and Microsoft Azure with controls mapped to HIPAA Security Rule requirements for secure genomic data storage and analytics.

Question 3

What does AI-driven variant classification look like in production?

Accepted Answer

AI-driven variant classification automates evidence collection from sources such as ClinVar, gnomAD, REVEL, CADD, and SpliceAI, then provides ACMG classification recommendations with confidence scores and explainable evidence. Clinical interpreters review, validate, and approve classifications while maintaining complete audit trails. Automated VUS re-analysis continuously evaluates variants as new evidence becomes available.

Question 4

Can you build a multi-omic analysis platform for cancer research?

Accepted Answer

Yes. NonStop develops multi-omic analysis platforms that integrate genomics, transcriptomics, proteomics, metabolomics, and clinical data into a unified environment. These platforms support biomarker discovery, pathway analysis, tumor classification, drug response prediction, cohort exploration, and machine learning workflows for cancer research, precision medicine, and translational research programs.