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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...
Autores principales: | Xi, Ruibin, Lee, Semin, Xia, Yuchao, Kim, Tae-Min, Park, Peter J |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
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 |
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