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Updated: Apr 13, 2026

Detection of Copy Number Alterations Using Single Cell Sequencing
Published on: February 17, 2017
CONSERTING: integrating copy-number analysis with structural-variation detection
Xiang Chen1, Pankaj Gupta1, Jianmin Wang2
11] Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA. [2] Pediatric Cancer Genome Project, St. Jude Children's Research Hospital and Washington University School of Medicine, Memphis, Tennessee, USA.
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.
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