Content area
Abstract
We developed Copy Number Segmentation by Regression Tree in Next Generation Sequencing (CONSERTING), an algorithm for detecting somatic copy-number alteration (CNA) using whole-genome sequencing (WGS) data. CONSERTING performs iterative analysis of segmentation on the basis of changes in read depth and the detection of localized structural variations, with high accuracy and sensitivity. Analysis of 43 cancer genomes from both pediatric and adult patients revealed novel oncogenic CNAs, complex rearrangements and subclonal CNAs missed by alternative approaches.
Details
Title
CONSERTING: integrating copy-number analysis with structural-variation detection
Author
Chen, Xiang; Gupta, Pankaj; Wang, Jianmin; Nakitandwe, Joy; Roberts, Kathryn; Dalton, James D; Parker, Matthew; Patel, Samir; Holmfeldt, Linda; Payne, Debbie; Easton, John; Ma, Jing; Rusch, Michael; Wu, Gang; Patel, Aman; Baker, Suzanne J; Dyer, Michael A; Shurtleff, Sheila; Espy, Stephen; Pounds, Stanley; Downing, James R; Ellison, David W; Mullighan, Charles G; Zhang, Jinghui
Pages
527-530
Publication year
2015
Publication date
Jun 2015
ISSN
15487091
e-ISSN
15487105
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1767148306
Copyright
Copyright Nature Publishing Group Jun 2015