RUBIC identifies driver genes by detecting recurrent DNA copy number breaks

Abstract

Analysis of cancer genome sequencing data has been used to predict genes associated with the pathogenesis of cancer. Here, the authors propose a new algorithm entitled RUBIC that predicts breaks in DNA as opposed to previously published methods that predict amplifications and deletions of DNA.