| Literature DB >> 25938371 |
Xiang Chen1, Pankaj Gupta1, Jianmin Wang2, Joy Nakitandwe3, Kathryn Roberts4, James D Dalton4, Matthew Parker1, Samir Patel4, Linda Holmfeldt4, Debbie Payne4, John Easton5, Jing Ma3, Michael Rusch1, Gang Wu1, Aman Patel1, Suzanne J Baker6, Michael A Dyer6, Sheila Shurtleff3, Stephen Espy7, Stanley Pounds8, James R Downing3, David W Ellison3, Charles G Mullighan3, Jinghui Zhang1.
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.Entities:
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Year: 2015 PMID: 25938371 PMCID: PMC4591043 DOI: 10.1038/nmeth.3394
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547