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The rapid escalation of throughput from next generation sequencing instruments, coupled with decreasing costs per experiment, is resulting in a rapid accumulation of knowledge about the genome-wide spectrum of variation in disease. One result of such discoveries will be the correlation of certain variants with disease susceptibility, outcome, and other clinical disease aspects. Variants with correlative significance have translational potential, and must be coupled with an appropriate technology that has a straightforward template preparation method, hands-off operation, and a read-out that can be subjected to algorithmic interpretation. This talk will focus on the translational potential that may result from our work to sequence cancer genomes using whole genome methods and extensive analytical characterization.