Ultimately, Mayo Clinic decided to adopt a new variant calling software that completes analysis 44 times faster than the traditional industry-standard pipeline-requiring just a few hours to process a whole genome, rather than days. Her group conducted analyses to find the fastest tools for genetic variant calling, which analyzes how a specific DNA sample differs from a standard reference. ![]() The Grand Challenge project, led by Eric Wieben, Ph.D. at Mayo Clinic and Matthew Hudson, Ph.D. at Illinois, tasked Liudmila Mainzer, Ph.D., Technical Program Manager of the Genomics group at Illinois’ National Center for Supercomputing Applications (NCSA), with speeding up clinical testing. The first aim of the project focused on finding faster methods for clinical analysis of the whole human genome. In 2017, the Mayo Clinic Center for Individualized Medicine (CIM) and the University of Illinois at Urbana-Champaign embarked on a two-year Grand Challenge under the auspices of the Mayo Clinic & Illinois Alliance for Technology-Based Healthcare with the goal of making DNA analysis a possibility for every patient. But in order for genetic information to contribute meaningfully to patient care, DNA testing has to be affordable and efficient. ![]() With individualized medicine-one of the holy grails of modern healthcare-diagnosis and treatment of patients would rely in part on each individual’s specific DNA profile, enabling truly personalized care.
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