Genomics sequencing is the mapping and correlation of genomes to gene reference sequences. It is fundamental to the diagnosis and cure of rare, inherited diseases as well as medical breakthroughs and personalized care. There are 3 billion human genomes, which translates to great volumes of data. The medical industry is progressing towards personalized medicine. This will require hardware with more processing power, storage capacity, and network bandwidth to keep up. With larger genomic data sets of roughly 90 gigabytes of data per patient, one can only imagine the computing and speed demands of genomic analysis.
Databases must expand beyond the current architectural limits for the efficient retrieval and processing of data. As the industry advances, we need scalable software and hardware resources to adapt to growing performance demands. Cost is also a concern, because traditionally, more computing power means more hardware components, translating to higher cost.
How can we harness technology to optimize performance to pioneer the path to precision medicine?