Taking on the limits of computing power

By | December 6, 2018
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DNA strand

(CSE News)

The emerging field of genomic analysis is on the cusp of revolutionizing the understanding of diseases and the methods for their treatment and prevention. However, current DNA analysis is restricted to using limited data due to the large time and cost for Whole Genome Sequencing (WGS), restricting progress. As biochemical sequencing is getting faster and cheaper, the bottleneck is the analysis of the large volumes of data generated by these technologies. Faster and cheaper computational processing is required to make genomic analysis available for the masses.

Founded by U-M computer engineering professor Scott Mahlke and his former students Mehrzad Samadi and Ankit Sethia, Ann Arbor-based Parabricks Inc. employs proprietary high-performance computing techniques to dramatically accelerate WGS, shortening tasks that took multiple days to a single hour while generating fully equivalent output. Parabricks software integrates seamlessly with state-of-the-art deep learning techniques, enabling users to focus on extracting insights from data.