Adapting the Berkeley Big Data Analytics Stack to Genomics and Health

项目总结

Project Summary We propose building a computational platform based on the high performance Berkeley Big Data Analytics Stack (BDAS) to support a new ecosystem of Clinical Decision Support (CDS) applications. This platform will make it faster, easier, and less expensive to develop molecular Clinical Decision Support Systems. These systems require real-time queries of globally distributed data, efficient machine learning on large genomic datasets, and must be secure, fault-tolerant and scalable. BDAS and associated technologies are designed to help us meet these challenges and are therefore ideal building blocks to help us create our computational platform. To encourage the adoption of standards for the querying and sharing of large genomic datasets, we will adapt the BDAS stack to support the standards of the Global Alliance for Genomics and Health (GA4GH).