CONSERTING: integrating copy number analysis with structural variation detection

We developed Copy Number Segmentation by Regression Tree in Next Generation Sequencing (CONSERTING), a novel algorithm for detecting somatic copy number alteration (CNA) using whole-genome sequencing (WGS) data. CONSERTING performs iterative analysis of segmentation by read depth change and localized structural variation detection to achieve high accuracy and sensitivity. Analysis of 43 pediatric and adult cancer genomes revealed novel oncogenic CNAs, complex re-arrangements and subclonal CNAs missed by alternative approaches. This study contains all data for "CONSERTING: an accurate method for detecting somatic DNA copy number alterations in whole genome sequencing data", which was previously split between EGAS00001001202 and EGAS00001001050.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 1 Publication

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001001352	Data files for CONSERTING (WGS)	Illumina HiSeq 2000	38

Publications	Citations
CONSERTING: integrating copy-number analysis with structural-variation detection. Chen X, Gupta P, Wang J, Nakitandwe J, Roberts K, Dalton JD, Parker M, Patel S, Holmfeldt L, Payne D, Easton J, Ma J, Rusch M, Wu G, Patel A, Baker SJ, Dyer MA, Shurtleff S, Espy S, Pounds S, Downing JR, Ellison DW, Mullighan CG, Zhang J. Nat Methods 12: 2015 527-530	53