There are hundreds of life science labs in the U.S. using next-generation
sequencing, bioinformatics, proteomics, and molecular modeling to identify
the genes behind, and potential drug targets to cure, many diseases including
diabetes, cancer and Alzheimer's disease.
With increasing data coming off of modern scientific instruments, the demand
for compute power to analyze the data is increasing dramatically. Currently,
life science researchers in bioinformatics, next-generation sequencing, and
molecular modeling need to spend tens to hundreds of thousands of dollars to
buy server clusters to run their scientific calculations.
High performance computing (HPC) has come a long way for life sciences.
Twenty years ago, expensive parallel supercomputers were required to render
proteins in three dimensions and run software that helped researchers
understand their shapes. N... (more)