The other is on Mount Sinai’s Trans-Omics for Precision Medicine (TOPMed) Program. For this, the engine will provide 1.75 petabytes of storage needed for whole-genome sequencing data, other omics, and molecular, behavioral imaging, environmental, and clinical data for investigating biological causes of heart, blood, lung, and sleep disorders. Hundreds of terabytes will also be offered for immediate results storage, along with approximately seven million compute hours for the highest-powered analysis of the TOPMed data. BODE 2 is expected to accelerate these processes compared to a stand-alone machine for each.

"Biomedical science is becoming more computationally- and data-intensive," said Kovatch. "Early career researchers and physicians are highly trained and savvy with data science at the intersection of biomedicine, and technology continues to evolve and become more affordable. It is essential for healthcare organizations to leverage these trends, and their 'natural' data resources to continue to improve patient outcomes. Capable computational and data resources such as BODE 2, coupled with biomedical data science experts as we have at Mount Sinai, provide better care through precision, personalized and predictive medicine, presenting a pathway to make better informed healthcare decisions."


BODE 2 is set to launch at the end of the year.

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