Accelerating Treatment Decisions and Drug Discovery on a Modern Clinical Genomics Data Platform

Challenge

For the client, a new clinical genomics data platform unlocked opportunities to streamline genomic data annotation, and make it easier for staff to query, analyze, visualize, and collaborate on annotated genetic variants with clinical data. A solution with faster at-scale utilization of internal clinico-genomic data could improve the company’s testing and reporting capabilities, democratizing data for R&D.

The company’s biopharma partners can leverage the platform to access its unique datasets, to accelerate drug research and development, identify potential new patient subsets with unmet medical needs, aid in the design of clinical trials, and more.

Solution

Provectus developed a comprehensive strategy to deliver a modern clinical genomics data platform for the client. The team’s work included:

• Migration of the client’s datasets and pipelines to AWS
• Unification, integration, and harmonization of diverse clinico-genomic data
• Development of products for cohort identification, analysis, and analytics

The solution was delivered as a highly scalable, cost-effective clinical genomics platform, built using a range of AWS services. It allowed the client to accelerate genomic data annotation workflows, while storing produced genetic variants in a unified, cloud-based data warehouse for collaborative query, analysis, and visualization with matched clinical data.

Outcome

Provectus delivered the client’s new clinical genomics data platform in a matter of months, providing it with a foundational service for transforming vast stores of clinico-genomic data into actionable insights.

The clinical genomics data platform has helped the client streamline genomic data annotation, dramatically accelerating annotation throughput and reducing unit cost.

With its user-friendly UI, the platform can analyze cohorts or entire populations in seconds, eliminating hours-long wait times for researchers. The integration of clean, structured, and matched clinico-genomic data has allowed the client to produce a unique database with early-stage cancer patient data, forging the path for longer, healthier lives for millions.