Ontology highlight
ABSTRACT:
SUBMITTER: van Dyk E
PROVIDER: S-EPMC4942583 | biostudies-literature | 2016 Jul
REPOSITORIES: biostudies-literature
van Dyk Ewald E Hoogstraat Marlous M Ten Hoeve Jelle J Reinders Marcel J T MJ Wessels Lodewyk F A LF
Nature communications 20160711
The frequent recurrence of copy number aberrations across tumour samples is a reliable hallmark of certain cancer driver genes. However, state-of-the-art algorithms for detecting recurrent aberrations fail to detect several known drivers. In this study, we propose RUBIC, an approach that detects recurrent copy number breaks, rather than recurrently amplified or deleted regions. This change of perspective allows for a simplified approach as recursive peak splitting procedures and repeated re-esti ...[more]