Global copy number profiling of cancer genomes. (16th November 2015)

• Record Type: Journal Article
• Authors: Wang, Xuefeng; Chen, Mengjie; Yu, Xiaoqing; Pornputtapong, Natapol; Chen, Hao; Zhang, Nancy R.; Powers, R. Scott; Krauthammer, Michael
• Is Part Of: Bioinformatics. Volume 32:Number 6(2016)
• Page Start: 926
• Page End: 928
• Publication Date: 2015-11-16
• Subjects: Bioinformatics -- Periodicals; Genomics -- Data processing -- Periodicals; Computational biology -- Periodicals; 572.80285
• DOI: 10.1093/bioinformatics/btv676
• Languages: English
• ISSNs: 1367-4803

Abstract

Abstract : Summary: 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: [e-mail] or [e-mail] Supplementary information: Supplementary data are available at Bioinformatics online.