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Updated: Apr 14, 2026

Detection of Copy Number Alterations Using Single Cell Sequencing
Published on: February 17, 2017
CopywriteR: DNA copy number detection from off-target sequence data
Thomas Kuilman1, Arno Velds2, Kristel Kemper3
1Division of Molecular Oncology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands. t.kuilman@nki.nl.
Abstract:
Current methods for detection of copy number variants (CNV) and aberrations (CNA) from targeted sequencing data are based on the depth of coverage of captured exons. Accurate CNA determination is complicated by uneven genomic distribution and non-uniform capture efficiency of targeted exons. Here we present CopywriteR, which eludes these problems by exploiting 'off-target' sequence reads. CopywriteR allows for extracting uniformly distributed copy number information, can be used without reference, and can be applied to sequencing data obtained from various techniques including chromatin immunoprecipitation and target enrichment on small gene panels. CopywriteR outperforms existing methods and constitutes a widely applicable alternative to available tools.
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