Subho S. Banerjee

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The proliferation of high-throughput sequencing machines allows for the rapid generation of billions of short nucleotide fragments in a short period. This massive amount of sequence data can quickly overwhelm today's storage and compute infrastructure. This poster explores the use of hardware acceleration to significantly improve the runtime of short-read(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)
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