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Since genetic information is vast and often on the scale of billions of bits, the time taken to process data by his algorithm is exponentially reduced.
H&S

University research in quantum computing assists the study of genetic diseases

With the human genome being over 6.4 billion base pairs, quantum computing may prove to be an efficient way to process genetic data. Dr. Stephan Bekiranov — a computational biologist at U.Va. — has developed an algorithm that utilizes a quantum computer in order to study genetic diseases. This algorithm was designed to introduce efficiencies in the computations by reducing the number of calculations performed in an operation.


Currently, ACCORD is in use at institutions such as George Mason University and the Virginia Tech Carilion School of Medicine.
H&S

U.Va. receives NSF grant expansion to increase computing capabilities for sensitive COVID-19 health data research

Last year, University personnel established the high-performance computing system Virginia Assuring Controls Compliance of Research Data to aid institutions across the Commonwealth with their research efforts. The grant, funded by the National Science Foundation, was recently expanded to ACCORD-COVID, which serves institutions around the nation.