While RB1 loss initiates retinoblastoma development, additional somatic copy number alterations (SCNAs) can drive tumor progression. Although SCNAs have been identified with good concordance between studies at a cytoband resolution, accurate identification of single genes for all recurrent SCNAs is still challenging. This study presents a comprehensive meta-analysis of genome-wide SCNAs integrated with gene expression profiling data, narrowing down the list of plausible retinoblastoma driver genes.
Pubmed ID: 27115612 RIS Download
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View all literature mentionsSoftware that segments DNA copy number data using circular binary segmentation to detect regions with abnormal copy number.
View all literature mentionsA suite of tools to address common questions raised in genomic studies - mostly with regard to overlap and proximity relationships between data sets.
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