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CONSERTING: integrating copy-number analysis with structural-variation detection.

Authors :
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
Source :
Nature Methods. Jun2015, Vol. 12 Issue 6, p527-530. 4p.
Publication Year :
2015

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15487091
Volume :
12
Issue :
6
Database :
Academic Search Index
Journal :
Nature Methods
Publication Type :
Academic Journal
Accession number :
102921543
Full Text :
https://doi.org/10.1038/nmeth.3394