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      • DRAGEN DNA Pipeline
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        • Sorting and Duplicate Marking
        • Small Variant Calling
          • ROH Caller
          • B-Allele Frequency Output
          • Somatic Mode
          • Joint Analysis
          • De Novo Small Variant Filtering
          • Autogenerated MD5SUM for VCF Files
          • Force Genotyping
          • Machine Learning for Variant Calling
          • Evidence BAM
          • Mosaic Detection
          • VCF Imputation
          • Multi-Region Joint Detection
        • Copy Number Variant Calling
          • CNV Output
          • CNV with SV Support
          • Multisample CNV Calling
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          • De Novo Repeat Expansion Detection
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          • CYP21A2 Caller
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          • Structural Variant De Novo Quality Scoring
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          • Homologous Recombination Deficiency
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        • High Coverage Analysis
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        • Population Haplotyping (Beta)
        • DUX4 Rearrangement Caller
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        • Gene Fusion Detection
        • Gene Expression Quantification
        • RNA Variant Calling
        • Splice Variant Caller
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        • Kmer Classifier Database Builder
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  1. Product Guides
  2. DRAGEN v4.4
  3. DRAGEN DNA Pipeline

Copy Number Variant Calling

PreviousMulti-Region Joint DetectionNextAvailable pipelines

Last updated 2 days ago

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The DRAGEN Copy Number Variant (CNV) Pipeline can call CNV events using next-generation sequencing (NGS) data. This pipeline supports multiple applications in a single interface via the DRAGEN Host Software, including processing of whole-genome sequencing (WGS) data and whole-exome sequencing (WES) data.

The DRAGEN CNV pipeline has two normalization modes of operation (see each pipeline for which of these are supported). The two modes apply different normalization techniques to handle biases that differ based on the application, for example, WGS versus WES. While the default option settings attempt to provide the best trade-off in terms of speed and accuracy, a specific workflow may require more finely tuned option settings.

Overview

The following figures show a high-level overview of the steps in the DRAGEN CNV Pipeline as the signal traverses through the various stages. These figures are examples and are not identical to the plots that are generated from the DRAGEN CNV Pipeline.

The first step in the DRAGEN CNV Pipeline is the target counts stage. The target counts stage extracts signals such as read count and improper pairs and puts them into target intervals.

Read Count Signal

Improper Pairs Signal

Next, the case sample is normalized against the panel of normals or against the estimated normal ploidy level. Any other biases are subtracted out of the signal to amplify any event level signals.

Normalization

The normalized signal is then segmented using one of the available segmentation algorithms. Events are then called from the segments.

Segments

Called Events

The events are then scored and emitted in the output VCF.

Available pipelines

Additional documentation

Germline CNV Calling (WGS/WES)
Germline CNV Calling ASCN (WGS)
Multisample Germline CNV Calling
Somatic CNV Calling ASCN (WGS)
Somatic CNV Calling (WES)
Somatic CNV Calling ASCN (WES)
CNV Input
CNV Preprocessing
CNV Segmentation
CNV Output
CNV ASCN module
CNV with SV support
Cytogenetics modality