NEW YORK (GenomeWeb News) – By considering sequence data for individuals assessed through the 1000 Genomes Project, a team led by researchers from Yale University and Wellcome Trust Sanger Institute came up with a computational method for prioritizing potential disease culprits — including those in non-protein-coding parts of the genome.

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