Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants

Whole-genome sequencing data allow detection of copy number variation (CNV) at high resolution. However, estimation based on read coverage along the genome suffers from bias due to GC content and other factors. Here, we develop an algorithm called BIC-seq2 that combines normalization of the data at...

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Detalles Bibliográficos
Autores principales: Xi, Ruibin, Lee, Semin, Xia, Yuchao, Kim, Tae-Min, Park, Peter J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Genomics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5772337/
https://www.ncbi.nlm.nih.gov/pubmed/27260798
http://dx.doi.org/10.1093/nar/gkw491

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5772337/
https://www.ncbi.nlm.nih.gov/pubmed/27260798
http://dx.doi.org/10.1093/nar/gkw491

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