The ORNL team of Daniel Jacobson, Wayne Joubert, Deborah Weighill, and David Kanier developed a new “CoMet” algorithm that allows supercomputers to process vast amounts of genetic data and identify genes that may be more susceptible to pain and opioid addiction as well as promising treatments. By running the algorithm supercomputers are able to successfully process genetic data at a magnitude that is four to five times greater than the latest state-of-the-art approaches. CoMetis currently being used in projects ranging from bioenergy to clinical genomics.

 

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