Jason Stowe

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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)