Genomics 3.0: Big-data in precision medicine

Abstract

The Human genome project transformed biology and pharmacology into a computational, mathematical, and big-data science. In this paper we dissect the science and technology of big-data translational genomics and precision medicine-we present various components of this complex Genomics 3.0 science. We also identify diverse idiosyncrasies of big-data with respect to application of computer algorithms and mathematics in genomics. We discuss the 7Vs of big-data in biology; we discuss genomic data and its relevance with respect to formal database systems. Genomics big-data analysis is a combination of top-down, bottom-up, and middle-out approaches with all the constituent parts integrated into a single system through complex meta-analysis. Finally, we present two big-data platforms iOMICS and DiscoverX. iOMICS platform is deployed at Google cloud for translational genomics; whereas, DiscoverX is deployed at Amazon Web Services for precision medicine.