Omicia, U of Utah Showcase Algorithm for Identifying Disease-Causing Variants in Individual Samples | GenomeWeb

NEW YORK (GenomeWeb) – Researchers from Omicia, the University of Utah, and other institutions have developed a method of ranking relevant disease-causing mutations, particularly in genomic samples collected from individuals and family trios, that uses biomedical ontologies to combine phenotype, genotype, and disease information.

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