CONSERTING: integrating copy number analysis with structural variation detection

Study ID Alternative Stable ID Type
EGAS00001001202 Other

Study Description

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.

Study Datasets 1 dataset.

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

Who archives the data?