Seven Bridges' Platform Integration with SolveBio
News Nov 16, 2016
Seven Bridges and SolveBio announced the integration of their complementary platforms for genomic data analysis. The integration of Seven Bridges’ platform for cloud-based biomedical data analysis with SolveBio enables biotech and pharmaceutical researchers to seamlessly transition from the analysis of large NGS datasets to clinical analysis and interpretation, speeding the progress of their precision medicine initiatives. This integration is available in Seven Bridges’ Public Apps repository today, meaning any joint customer may immediately use this end-to-end workflow.
“Through the integration of our respective platforms, Seven Bridges and SolveBio are helping to accelerate the pace of precision medicine research from ‘bench to bedside,’” said James Sietstra, President of Seven Bridges. “Seven Bridges brings the scale of the cloud and national-scale genomic datasets, while SolveBio’s deep knowledge base and contextual intelligence tools help researchers take their work to the next level in discovering new treatments for patients.”
“The Seven Bridges Platform gives our customers access to the workflows and computational power they need to uncover variants that might be linked to disease and that are candidates for further study,” said Mark Kaganovich, CEO of SolveBio. “Through this integration, our customers can now immediately and easily incorporate these data into SolveBio, so that translational scientists can get contextual, up-to-date, in-depth views of biomarkers and variants.”
As a result of Seven Bridges’ integration with SolveBio, joint customers can analyze and annotate large genomic datasets using Seven Bridges tools and customizable workflows and then push relevant findings to SolveBio for deep functional interpretation and assessment of clinical impact. This integration gives large pharmaceutical and governmental clients an end-to-end solution for analysis and interpretation.
Researchers at the National Cancer Institute (NCI) are already using the two integrated platforms to analyze data from The Division of Cancer Epidemiology and Genetics (DCEG) research program, one of the world’s most comprehensive cancer epidemiology research groups. The group’s epidemiologists, geneticists, and biostatisticians conduct population and multidisciplinary research to discover the genetic and environmental determinants of cancer and new approaches to cancer prevention.
“As the DCEG's genomic research transitions to whole genome sequencing with larger datasets, our local HPC and database technology will no longer be enough,” said David Roberson, Bioinformatics Analyst at the NCI and Leidos Biomedical Research, Inc. “The combination of Seven Bridges’ scalable cloud analysis platform and SolveBio’s deep genomic intelligence tools provide an important opportunity to advance the goals of cancer research. Being able to quickly search and annotate hundreds of millions of variant records and create multiple data builds that can be shared securely with collaborators will be critical.”
Story from Seven Bridges. Please note: The content above may have been edited to ensure it is in keeping with Technology Networks’ style and length guidelines.
Chinese researchers have developed interfacially polymerized porous polymer particles for low- abundance glycopeptide separation. These polymer particles - with hydrophilic-hydrophobic heterostructured nanopores - can separate low-abundance glycopeptides from complex biological samples with high-abundance background molecules efficiently.