The authors profiled 57 prostate cancer (PCa) samples using next-generation whole-genome sequencing (WGS) and high-throughput single-nucleotide polymorphism microarray technologies to map somatic DNA alterations associated with PCa initiation and progression. They discovered characteristic distributions of DNA break points and translocations, resulting in a computational model of complex genomic restructuring.
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