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CopywriteR: DNA copy number detection from off-target sequence data

机译:CopywriteR:从脱靶序列数据中检测DNA拷贝数

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摘要

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.Electronic supplementary materialThe online version of this article (doi:10.1186/s13059-015-0617-1) contains supplementary material, which is available to authorized users.
机译:从目标测序数据中检测拷贝数变异(CNV)和像差(CNA)的当前方法是基于捕获外显子的覆盖深度。基因组分布不均匀以及目标外显子的捕获效率不均匀,使CNA的准确测定变得复杂。在这里,我们介绍CopywriteR,它通过利用“脱靶”序列读取来避免这些问题。 CopywriteR允许提取均匀分布的拷贝数信息,无需参考即可使用,并可应用于从各种技术获得的测序数据,包括染色质免疫沉淀和小基因板上的靶标富集。 CopywriteR胜过现有方法,并构成了可用工具的广泛适用替代品。电子补充材料本文的在线版本(doi:10.1186 / s13059-015-0617-1)包含补充材料,授权用户可以使用。

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