Life science teams often require substantial high-performance computing (HPC) resources to process and analyze data created by new instruments and techniques. In fact, at some research institutions, life science departments consume more compute and storage resources than the traditional data-driven sciences of computational chemistry, astrophysics and climate research.
Now, many organizations need to bolster their storage environment. They need solutions that allow them to ingest a large amount of raw data from instruments, present data for analyses, preserve all data for the long term and ensure that data remains readily accessible by collaborative research teams. These IT solutions should not be overly complicated to manage: scientists should remain focused on their scientific research, not IT.
