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Somatic copy-number alterations (SCNAs) are an important type of structural variation affecting tumor pathogenesis. Accurate detection of genomic regions with SCNAs is crucial for cancer genomics as these regions contain likely drivers of cancer development. Deep sequencing technology provides single-nucleotide resolution genomic data and is considered one of the best measurement technologies to detect SCNAs.
(Alkodsi et al., 2015) Comparative analysis of methods for identifying somatic copy number alterations from deep sequencing data. Brief Bioinform.