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Global copy number profiling of cancer genomes.

Authors :
Xuefeng Wang
Mengjie Chen
Xiaoqing Yu
Pornputtapong, Natapol
Hao Chen
Zhang, Nancy R.
Powers, R. Scott
Krauthammer, Michael
Source :
Bioinformatics; 3/15/2016, Vol. 32 Issue 6, p926-928, 3p
Publication Year :
2016

Abstract

Summary: In this article, we introduce a robust and efficient strategy for deriving global and allelespecific 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
32
Issue :
6
Database :
Complementary Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
113825494
Full Text :
https://doi.org/10.1093/bioinformatics/btv676