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AbstractClinical applications of precision oncology require accurate tests that can distinguish cancer-specific mutations from errors introduced at each step of next generation sequencing (NGS). For NGS to successfully improve patient lives, discriminating between true mutations and artifacts is crucial. To date, no study has addressed the effects of cross site reproducibility together with the potentially influential interactions between biological, technical, and computational factors on thedoi:10.1101/626440 fatcat:sxskeoedlbbgblt6xjdjcmo4bm