The frequent recurrence of copy number aberrations in genomic loci across tumor samples is a reliable hallmark of cancer driver genes. RUBIC is a novel approach that detects recurrent copy number breaks, rather than recurrently amplified or deleted regions. This change of perspective allows for a vastly simplified approach as recursive peak splitting procedures and repeated re-estimation of the background model are avoided. Furthermore, the false discovery rate is controlled on the level of called regions, rather than at the probe level, as in competing algorithms. Input a list of DNA copy number samples (from different tumor samples) and RUBIC will output a list of focal recurrent regions across the genome that helps to pinpoint the oncogenes and tumor suppressors that play an active role in tumor initiation and development.