Accelerating Treatment Decisions and Drug Discovery on a Modern Clinical Genomics Database

A leading biotech company leverages its new clinical genomics database (CGDB) to democratize biomedical data for R&D, and to enable data-driven decisions for personalized patient care
Company Profile
A global leader in advanced cancer diagnostics
Industry
Biotechnology, healthcare, and life sciences
Region
North America, Global
About the Client

The company is a pioneer in early detection and monitoring of cancer. By integrating innovative molecular biology techniques and sophisticated bioinformatics solutions, they deliver highly sensitive genetic testing capabilities across multiple cancer types. 



This synergy reflects the company’s mission to transform healthcare through data-driven diagnostics, enabling earlier detection and more personalized treatment of different types of cancer.

300X
Faster annotation of real-world clinico-genomic data
2X
Reduction in cost per sample on a new CGDB solution
Generation
of the unique early-stage cancer database

Challenge

For the client, a new clinical genomics database (CGDB) 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 CGDB 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 CGDB solution 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 CGDB solution in a matter of months, providing it with a foundational platform for transforming vast stores of clinico-genomic data into actionable insights.

The clinical genomics database (CGDB) has helped the client streamline genomic data annotation, accelerating annotation processing by 300X and reducing cost per sample by 2X.

With its user-friendly UI, CGDB 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.

300X
Faster annotation of real-world clinico-genomic data
2X
Reduction in cost per sample on a new CGDB solution
Generation
of the unique early-stage cancer database
The CGDB solution has revolutionized our approach to preparation, management, and analysis of biomedical data. We've seen a 300-fold increase in data processing speed, and cut our costs in half. What once took hours now takes seconds. This solution is a game-changer for our researchers and clinicians, helping us to accelerate drug discovery and improve outcomes for millions of patients.

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