Dissemin is shutting down on January 1st, 2025

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Nature Research, Nature Methods, 6(12), p. 527-530, 2015

DOI: 10.1038/nmeth.3394

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CONSERTING: Integrating copy-number analysis with structural-variation detection

Journal article published in 2015 by Xiang Chen, Pankaj Gupta, Jianmin Wang, Joy Nakitandwe, Kathryn Roberts, James D. Dalton, Samir Patel, Gang Wu, Matthew Parker ORCID, John Easton ORCID, Jing, Linda Holmfeldt ORCID, Jing Ma, Michael Rusch, Jinghui Zhang and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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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.