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

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...

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Detalles Bibliográficos
Autores principales: Kuilman, Thomas, Velds, Arno, Kemper, Kristel, Ranzani, Marco, Bombardelli, Lorenzo, Hoogstraat, Marlous, Nevedomskaya, Ekaterina, Xu, Guotai, de Ruiter, Julian, Lolkema, Martijn P, Ylstra, Bauke, Jonkers, Jos, Rottenberg, Sven, Wessels, Lodewyk F, Adams, David J, Peeper, Daniel S, Krijgsman, Oscar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4396974/
https://www.ncbi.nlm.nih.gov/pubmed/25887352
http://dx.doi.org/10.1186/s13059-015-0617-1
Descripción
Sumario: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 MATERIAL: The online version of this article (doi:10.1186/s13059-015-0617-1) contains supplementary material, which is available to authorized users.