Genomic Science Program (GSP) science is increasingly multidisciplinary, quantitative, and data-centric. As the program progresses toward gaining a predictive understanding of biology for a host of DOE mission objectives, a continuing and growing challenge is how to make effective use of the corresponding large, multidisciplinary datasets to spur scientific discovery and design. Nowhere is this challenge more evident than in the sheer volume of genomic and other omics data produced every year within the portfolio and the larger biological research community. New breakthroughs in imaging and analytical technologies also add to an overwhelming flood of data potentially available to the scientific community. BER thus seeks to create computational platforms that facilitate accessing, integrating, analyzing, and sharing results from large-scale, integrated omics, instrumental, and imaging datasets.
Support the development of computational and instrumental platforms to enable broader integration and analysis of large-scale complex data within BER’s multidisciplinary research efforts.
Enabling capabilities include
- GSP Cyberinfrastructure (Data analysis, visualization, curation, and publication)
- Biomolecular Characterization and Imaging Science
- DOE Scientific User Facilities