ARIA improves the precision, breadth and rate of discovery of meaningful connections between genetics and health outcomes at the 1M+ participant scale
“ARIA provides a comprehensive solution to meet the challenges of the million genome era to improve the precision, breadth and rate of discovery of meaningful connections between genetics and health outcomes,” said Brandi Davis-Dusenbery, Ph.D., Chief Scientific Officer, Seven Bridges. “ARIA’s customizable modules provide the flexibility to adapt to the unique challenges of your organization, your data and your science today — and tomorrow.”
Across the world, numerous initiatives are currently underway to collect massive repositories of genomic and phenotypic data. These data have the potential to reveal transformative insights into the underpinnings of disease, novel therapeutic approaches and in silico disease models. However, current technologies are ill-equipped to effectively handle the scale, complexity and disparate modalities of data being generated by these initiatives. Researchers find themselves spending a disproportionate amount of time preparing data for analysis and learning new methods, thereby delaying scientific insights. Petabyte-scale datasets are complex and require a significant investment in infrastructure and expertise, while harmonizing and integrating data are time-consuming and laborious due to siloed data structures and lack of standardization.
“Seven Bridges ARIA helps clients derive population-scale insights by efficiently leveraging clinico-genomic data to build cohorts, query variant information and drive downstream association and GWAS analyses,” said Jack DiGiovanna, Ph.D., Senior Vice President and Director of Programs at Seven Bridges. “ARIA remains both flexible and highly performant even as data scales towards 1M subjects; this facilitates rapid time to insights and greater efficiency all while remaining connected to an organization’s data and analytics ecosystem.”
Leveraging ARIA, users of a leading research institution saw performance improvements such as reduced data ingestion time from 4 weeks to 7 hours and decreased query time from 12 hours to 60 seconds. ARIA users have seen superior performance in designing complex case and control cohorts for GWAS analyses, with results in as little as 30 seconds.
One Seven Bridges partner, the Pancreatic Cancer Action Network (PanCAN), is pioneering new clinical trials methods to improve outcomes for pancreatic cancer, but the process can be arduous. PanCAN’s global community of researchers — with a broad range of scientific and informatics expertise — required an easy way to discover, explore and build cohorts from diverse, rich clinical and molecular datasets and subsequently perform downstream analysis in a secure environment to understand predictors of response.
“We are in a race against time to find better therapies so that all patients with pancreatic cancer have the opportunity to thrive, and we are confident that large-scale, multi-omics projects will provide us the data that will speed progress,” said Sudheer Doss, Ph.D., PanCAN’s Chief Business Officer and Head of Patient Health Data. “Our research platform, SPARK, features a custom interface that was purpose-built to the needs of our researchers and supports our rich data models and data integrations. This interface was built on top of ARIA, and we are grateful for the exploration and search capabilities it provides for SPARK users.”
For information on ARIA, please visit sevenbridges.com/aria.
About Seven Bridges
Seven Bridges enables researchers to extract meaningful insights from genomic and phenotypic data in order to advance precision medicine. The Seven Bridges Ecosystem consists of a compliant analytic platform, intelligently curated content, transformative algorithms, unprecedented access to federated data sets, and expert on-demand professional services. This holistic approach to bioinformatics is enabling researchers — at the world’s leading academic, biotechnology, clinical diagnostic, government, medical centers, and pharmaceutical entities — to increase R&D efficiency, enhance the hypothesis resolution process, isolate critical biomarkers, and even turn a failing clinical trial around while also reducing computational workflow times and data storage costs. To learn more, visit sevenbridges.com or follow us on LinkedIn and Twitter.