Global copy number profiling of cancer genomes.
Ontology highlight
ABSTRACT: Unlabelled
In this article, we introduce a robust and efficient strategy for deriving global and allele-specific copy number alternations (CNA) from cancer whole exome sequencing data based on Log R ratios and B-allele frequencies. Applying the approach to the analysis of over 200 skin cancer samples, we demonstrate its utility for discovering distinct CNA events and for deriving ancillary information such as tumor purity.Availability and implementation
https://github.com/xfwang/CLOSE CONTACT: xuefeng.wang@stonybrook.edu or michael.krauthammer@yale.eduSupplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Wang X
PROVIDER: S-EPMC4907391 | biostudies-literature | 2016 Mar
REPOSITORIES: biostudies-literature
Publications
Global copy number profiling of cancer genomes.
Wang Xuefeng X Chen Mengjie M Yu Xiaoqing X Pornputtapong Natapol N Chen Hao H Zhang Nancy R NR Powers R Scott RS Krauthammer Michael M
Bioinformatics (Oxford, England) 20151116 6
<h4>Unlabelled</h4>In this article, we introduce a robust and efficient strategy for deriving global and allele-specific copy number alternations (CNA) from cancer whole exome sequencing data based on Log R ratios and B-allele frequencies. Applying the approach to the analysis of over 200 skin cancer samples, we demonstrate its utility for discovering distinct CNA events and for deriving ancillary information such as tumor purity.<h4>Availability and implementation</h4>https://github.com/xfwang/ ...[more]
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