Subho S. Banerjee

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
Recent growth in the volume of DNA sequence data and associated computational costs of extracting meaningful information warrants the need for efficient computational systems at-scale. In this work, we propose the Illinois Genomics Execution Environment (IGen), a framework for efficient and scalable genome analyses. The design philosophy of IGen is based on(More)
  • 1