Engineers at the University of California have developed a new data structure and compression technique that enables the field of pangenomics to handle unprecedented scales of genetic information. The team, led by UC San Diego electrical and computer engineering professor Yatish Turakhia, describe their compressive pangenomics approach in Nature Genetics.
