  During genomics life science research, the data volume of whole genomics and
life science algorithm is going bigger and bigger, which is calculated as TB,
PB or EB etc. The key problem will be how to store and analyze the data with
optimized way. This paper demonstrates how Intel Big Data Technology and
Architecture help to facilitate and accelerate the genomics life science
research in data store and utilization. Intel defines high performance
GenomicsDB for variant call data query and Lustre filesystem with Hierarchal
Storage Management for genomics data store. Based on these great technology,
Intel defines genomics knowledge share and exchange architecture, which is
landed and validated in BGI China and Shanghai Children Hospital with very
positive feedback. And these big data technology can definitely be scaled to
much more genomics life science partners in the world.
