DRAGEN
Illumina Connected Software
  • Overview
    • Illumina® DRAGEN™ Secondary Analysis
    • DRAGEN Applications
    • Deployment Options
  • Product Guides
    • DRAGEN v4.4
      • Getting Started
      • DRAGEN Host Software
        • DRAGEN Secondary Analysis
      • Clinical Research Workflows
        • DRAGEN Heme WGS Tumor Only Pipeline
          • Quick Start
          • Sample Sheets
            • Introduction
            • Requirements
            • Templates
          • Run Planning
            • Sample Sheet Creation in BaseSpace
            • Custom Config Support
          • DRAGEN Server App
            • Getting Started
            • Launching Analysis
            • Command Line Options
            • Output
            • Advanced Topics
              • Custom Workflow
              • Custom Config Support
              • Illumina Connected Insights
          • ICA Cloud App
            • Getting Started
            • Launching Analysis
            • Advanced Topics
              • Custom Workflow
              • Custom Config Support
              • Post Processing
              • Illumina Connected Insights
          • Analysis Output
          • Analysis Methods
          • Troubleshooting
        • DRAGEN Solid WGS Tumor Normal Pipeline
          • Quick Start
          • Sample Sheets
            • Introduction
            • Requirements
            • Templates
          • Run Planning
            • Sample Sheet Creation in BaseSpace
            • Custom Config Support
          • DRAGEN Server App
            • Quick Start
            • Getting Started
            • Launching Analysis
            • Command Line Options
            • Output
            • Advanced Topics
            • Custom Workflow
              • Custom Config Support
            • Illumina Connected Insights
          • ICA Cloud App
            • Getting Started
            • Launching Analysis
            • Output
            • Advanced Topics
              • Custom Workflow
              • Custom Config Support
              • Post Processing
              • Illumina Connected Insights
          • Analysis Output
          • Analysis Methods
          • Troubleshooting
      • DRAGEN Recipes
        • DNA Germline Panel UMI
        • DNA Germline Panel
        • DNA Germline WES UMI
        • DNA Germline WES
        • DNA Germline WGS UMI
        • DNA Germline WGS
        • DNA Somatic Tumor-Normal Solid Panel UMI
        • DNA Somatic Tumor-Normal Solid Panel
        • DNA Somatic Tumor-Normal Solid WES UMI
        • DNA Somatic Tumor-Normal Solid WES
        • DNA Somatic Tumor-Normal Solid WGS UMI
        • DNA Somatic Tumor-Normal Solid WGS
        • DNA Somatic Tumor-Only Heme WGS
        • DNA Somatic Tumor-Only Solid Panel UMI
        • DNA Somatic Tumor-Only Solid Panel
        • DNA Somatic Tumor-Only Solid WES UMI
        • DNA Somatic Tumor-Only Solid WES
        • DNA Somatic Tumor-Only Solid WGS UMI
        • DNA Somatic Tumor-Only Solid WGS
        • DNA Somatic Tumor-Only ctDNA Panel UMI
        • Illumina scRNA
        • Other scRNA prep
        • RNA Panel
        • RNA WTS
      • DRAGEN Reference Support
        • Prepare a Reference Genome
      • DRAGEN DNA Pipeline
        • DNA Mapping
        • Read Trimming
        • DRAGEN FASTQC
        • Sorting and Duplicate Marking
        • Small Variant Calling
          • ROH Caller
          • B-Allele Frequency Output
          • Somatic Mode
          • Pedigree 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
          • Available pipelines
            • 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)
          • Additional documentation
            • CNV Input
            • CNV Preprocessing
            • CNV Segmentation
            • CNV Output
            • CNV ASCN module
            • CNV with SV Support
            • Cytogenetics Modality
        • Repeat Expansion Detection
          • De Novo Repeat Expansion Detection
        • Targeted Caller
          • CYPDB6 Caller
          • CYP2D6 Caller
          • CYP21A2 Caller
          • GBA Caller
          • HBA Caller
          • LPA Caller
          • Rh Caller
          • SMN Caller
        • Structural Variant Calling
          • Structural Variant De Novo Quality Scoring
          • Structural Variant IGV Tutorial
        • VNTR Calling
        • Population Genotyping
        • Filter Duplicate Variants
        • Ploidy Calling
          • Ploidy Estimator
          • Ploidy Caller
        • Multi Caller
        • QC Metrics Reporting
        • JSON Metrics Reporting
        • HLA Typing
        • Biomarkers
          • Tumor Mutational Burden
          • Microsatellite Instability
          • Homologous Recombination Deficiency
          • BRCA Large Genomic Rearrangment
          • DRAGEN Fragmentomics
        • Downsampling
          • Fractional (Raw Reads) Downsampling
        • Unique Molecular Identifiers
        • Indel Re-aligner (Beta)
        • Star Allele Caller
        • High Coverage Analysis
        • CheckFingerprint
        • Population Haplotyping (Beta)
        • DUX4 Rearrangement Caller
      • DRAGEN RNA Pipeline
        • RNA Alignment
        • Gene Fusion Detection
        • Gene Expression Quantification
        • RNA Variant Calling
        • Splice Variant Caller
      • DRAGEN Single Cell Pipeline
        • Illumina PIPseq scRNA
        • Other scRNA Prep
        • scATAC
        • Single-Cell Multiomics
      • DRAGEN Methylation Pipeline
      • DRAGEN MRD Pipeline
      • DRAGEN Amplicon Pipeline
      • Explify Analysis Pipeline
        • Kmer Classifier
        • Kmer Classifier Database Builder
      • BCL conversion
      • Illumina Connected Annotations
      • ORA Compression
      • Command Line Options
        • Docker Requirements
      • DRAGEN Reports
      • Tools and Utilities
    • DRAGEN v4.3
      • Getting Started
      • DRAGEN Host Software
        • DRAGEN Secondary Analysis
      • DRAGEN Reference Support
        • Prepare a Reference Genome
      • DRAGEN DNA Pipeline
        • DNA Mapping
        • Read Trimming
        • DRAGEN FASTQC
        • 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
          • Somatic CNV Calling WGS
          • Somatic CNV Calling WES
          • Allele Specific CNV for Somatic WES CNV
        • Repeat Expansion Detection
          • De Novo Repeat Expansion Detection
        • Targeted Caller
          • CYPDB6 Caller
          • CYP2D6 Caller
          • CYP21A2 Caller
          • GBA Caller
          • HBA Caller
          • LPA Caller
          • Rh Caller
          • SMN Caller
        • Structural Variant Calling
          • Structural Variant De Novo Quality Scoring
        • VNTR Calling
        • Filter Duplicate Variants
        • Ploidy Calling
          • Ploidy Estimator
          • Ploidy Caller
        • Multi Caller
        • QC Metrics Reporting
        • HLA Typing
        • Biomarkers
          • Tumor Mutational Burden
          • Microsatellite Instability
          • Homologous Recombination Deficiency
          • BRCA Large Genomic Rearrangment
          • DRAGEN Fragmentomics
        • Downsampling
          • Fractional (Raw Reads) Downsampling
          • Effective Coverage Downsampling
        • Unique Molecular Identifiers
        • Indel Re-aligner (Beta)
        • Star Allele Caller
        • High Coverage Analysis
        • CheckFingerprint
        • Population Haplotyping (Beta)
        • DUX4 Rearrangement Caller
      • DRAGEN RNA Pipeline
        • RNA Alignment
        • Gene Fusion Detection
        • Gene Expression Quantification
        • RNA Variant Calling
        • Splice Variant Caller
      • DRAGEN Single-Cell Pipeline
        • scRNA
        • scATAC
        • Single-Cell Multiomics
      • DRAGEN Methylation Pipeline
      • DRAGEN Amplicon Pipeline
      • Explify Analysis Pipeline
        • Kmer Classifier
        • Kmer Classifier Database Builder
      • DRAGEN Recipes
        • DNA Germline Panel UMI
        • DNA Germline Panel
        • DNA Germline WES UMI
        • DNA Germline WES
        • DNA Germline WGS UMI
        • DNA Germline WGS
        • DNA Somatic Tumor-Normal Solid Panel UMI
        • DNA Somatic Tumor-Normal Solid Panel
        • DNA Somatic Tumor-Normal Solid WES UMI
        • DNA Somatic Tumor-Normal Solid WES
        • DNA Somatic Tumor-Normal Solid WGS UMI
        • DNA Somatic Tumor-Normal Solid WGS
        • DNA Somatic Tumor-Only Heme WGS
        • DNA Somatic Tumor-Only Solid Panel UMI
        • DNA Somatic Tumor-Only Solid Panel
        • DNA Somatic Tumor-Only Solid WES UMI
        • DNA Somatic Tumor-Only Solid WES
        • DNA Somatic Tumor-Only Solid WGS UMI
        • DNA Somatic Tumor-Only Solid WGS
        • DNA Somatic Tumor-Only ctDNA Panel UMI
        • RNA Panel
        • RNA WTS
      • BCL conversion
      • Illumina Connected Annotations
      • ORA Compression
      • Command Line Options
      • DRAGEN Reports
      • Tools and Utilities
  • Reference
    • DRAGEN Server
    • DRAGEN Multi-Cloud
      • DRAGEN on AWS
      • DRAGEN on AWS Batch
      • DRAGEN on Microsoft Azure
        • Run DRAGEN VM on Azure
      • DRAGEN on Microsoft Azure Batch
        • Azure Batch Run Modes
    • DRAGEN Licensing
      • DRAGEN Server Licensing
      • DRAGEN Cloud Licensing
    • DRAGEN Application Manager
    • Support
    • Resource Files
      • Noise Baselines
    • Supplementary Information
    • Troubleshooting
    • Citing DRAGEN software
    • Release Notes
    • Revision History
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  • Notes and additional options
  • Hashtable
  • Input options
  • Mapping and Aligning
  • Duplicate Marking
  • SNV
  • Annotation
  • VNTR
  • HLA
  • CNV
  • CNV Panel of Normals (PON)

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  1. Product Guides
  2. DRAGEN v4.4
  3. DRAGEN Recipes

DNA Germline Panel

The DRAGEN recipe includes the recommended pipeline specific commands.

  
/opt/dragen/$VERSION/bin/dragen         #DRAGEN install path 
--ref-dir $REF_DIR                      #path to DRAGEN pangenome hashtable 
--output-directory $OUTPUT 
--intermediate-results-dir $PATH        #e.g. SDD /staging 
--output-file-prefix $PREFIX 
# Inputs 
--fastq-list $PATH                      #see 'Input Options' for FQ, BAM or CRAM 
--fastq-list-sample-id $STRING 
# Mapper 
--enable-map-align true                 #optional with BAM/CRAM input 
--enable-map-align-output true          #optionally save the output BAM 
--enable-sort true                      #default=true 
--enable-duplicate-marking true         #default=true 
# Small variant caller 
--enable-variant-caller true 
--vc-target-bed $VC_TARGET_BED 
# Annotation 
--variant-annotation-data PATH 
--enable-variant-annotation true 
# SV 
--enable-sv true 
--sv-exome true 
--sv-call-regions-bed $SV_TARGET_BED 
# CNV 
--enable-cnv true 
--cnv-target-bed $PATH 
--cnv-combined-counts $PATH             #CNV PON 
# HLA genotyper 
--enable-hla true 
--hla-enable-class-2 true               #if panel covers class II HLA regions 
--hla-as-filter-min-threshold 29.0      #panel specific setting 
--hla-as-filter-ratio-threshold 0.85    #panel specific setting 

Notes and additional options

Hashtable

For DRAGEN germline runs, it is recommended to use the pangenome hashtable.

Input options

DRAGEN input sources include: fastq list, fastq, bam, or cram.

FQ list Input

--fastq-list $PATH 
--fastq-list-sample-id $STRING 

FQ Input

--fastq-file1 $PATH 
--fastq-file2 $PATH 
--RGSM $STRING 
--RGID $STRING 

BAM Input

--bam-input $PATH 

CRAM Input

--cram-input $PATH 

Mapping and Aligning

Option
Description

--enable-map-align true

Optionally disable map & align (default=true).

--enable-map-align-output true

Optionally save the output BAM (default=false).

--Aligner.clip-pe-overhang 2

Clean up any unwanted UMI indexes. Only use when reads contain UMIs, but UMI collapsing was not run.

Duplicate Marking

Option
Description

--enable-duplicate-marking true

By default, DRAGEN marks duplicate reads and exclude them from variant calling.

--enable-positional-collapsing true

Alternative to --enable-duplicate-marking=true. Instead of discarding duplicate reads, DRAGEN can optionally perform positional collapsing, merging them into higher-quality consensus reads. This is beneficial for small panels without UMIs and coverage between 300X and 1000X. However, it's slower than standard duplicate marking and less effective on samples with coverage lower than 300X. For very high coverage (1000X+), avoid it due to potential read collisions. For high-sensitivity panels with 1000X+ coverage, consider using UMIs.

SNV

DRAGEN SNV VC employs machine learning based variant recalibration (DRAGEN-ML). It processes read and other contextual evidence to remove false positives, recover false negatives and reduce zygosity errors. No additional setup is required. DRAGEN-ML is enabled by default as needed, when running the germline SNV VC on hg19 or hg38.

Note that we do not recommend changing the default QUAL thresholds of 3 for DRAGEN-ML and 10 for DRAGEN without ML. These values differ from each other because DRAGEN-ML improves the calibration of QUAL scores, leading to a change in the scoring range.

Option
Description

--vc-target-bed

Limit variant calling to region of interest.

--vc-combine-phased-variants-distance INT

Maximum distance in base pairs (BP) over which phased variants will be combined. Set to 0 to disable. Valid range is [0; 15] BP (Default=2)

--vc-emit-ref-confidence GVCF

To enable gVCF output.

--vc-enable-vcf-output

To enable VCF file output during a gVCF run, set to true. The default value is false.

Annotation

VNTR

Option
Description

--sv-vntr-merge false

Option to disable automatic merging of VNTR calls into SV VCF.

HLA

Option
Description

--enable-hla

Enable HLA typer (this setting by default will only genotype class 1 genes)

--hla-as-filter-min-threshold

Internal option to set min alignment score threshold. The default is 59 and works for WES and WGS. Set to 29 for panels.

--hla-as-filter-ratio-threshold

Minimum Alignment score of a read mate to be considered. The default is 0.67 and works for WES and WES. Set to 0.85 for panels.

--hla-enable-class-2

Extend genotyping to HLA class 2 genes (default=true).

CNV

Option
Description

--cnv-enable-gcbias-correction true

Enable or disable GC bias correction when generating target counts.

--cnv-segmentation-mode $SEG_MODE

Option to override the default segmentation algorithm. Defaults include slm for germline WGS, aslm for somatic WGS, and hslm for targeted analysis.

--cnv-segmentation-bed $PATH

If you are using somatic targeted panels with a set of genes supplied with the capture kit, then you can bypass segmentation by specifying a cnv-segmentation-bed and using cnv-segmentation-mode=bed.

CNV Panel of Normals (PON)

The panel of normals mode uses a set of matched normal samples to determine the baseline level from which to call CNV events. These matched normal samples should be derived from the same library prep and sequencing workflow that was used for the case sample. CNV requires PON files for all targeted analyses (including panels, exomes, germline, tumor-only and tumor-normal workflows). It is recommended to use 30-100 normal samples when building the PON, but fewer may be used. If sample coverage noise is relatively stable, as few as 5 PON samples may yield acceptable results.

Follow the two steps below to generate CNV PON:

Step 1. Generate target counts of individual normal samples.

Any options used for panel of normals generation (BED file, GC Bias Correction, etc) should be matched when processing the case sample.

  
/opt/dragen/$VERSION/bin/dragen         #DRAGEN install path 
--ref-dir $REF_DIR                      #path to DRAGEN pangenome hashtable 
--output-directory $OUTPUT 
--intermediate-results-dir $PATH        #e.g. SDD /staging 
--output-file-prefix $PREFIX 
--fastq-list $PATH                      #see 'Input Options' for FQ, BAM or CRAM 
--fastq-list-sample-id $STRING 
--enable-cnv true 
--cnv-target-bed $PATH 

Step 2. Combined counts generation.

Individual PON counts can be merged into a single file as a <prefix>.combined.counts.txt.gz file.

  
/opt/dragen/$VERSION/bin/dragen         #DRAGEN install path 
--ref-dir $REF_DIR                      #path to DRAGEN pangenome hashtable 
--output-directory $OUTPUT 
--intermediate-results-dir $PATH        #e.g. SDD /staging 
--output-file-prefix $PREFIX 
--enable-cnv true 
--cnv-generate-combined-counts true 
--cnv-normals-list $CNV_NORMALS_LIST 

$CNV_NORMALS_LIST is a single lines file with paths to each target counts file generated by step1 (either .target.counts.gz or .target.counts.gc-corrected.gz). Output will have a PON file with suffix .combined.counts.txt.gz file. Use the PON file in case sample runs of DRAGEN CNV with --cnv-combined-counts option.

In some cases, an in-run PON containing germline samples from the same batch (i.e. sample source, DNA extraction, library prep and sequencing run) may provide superior normalization.

PreviousDNA Germline Panel UMINextDNA Germline WES UMI

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See:

For more detail on the small variant caller in somatic mode please refer to

For instructions on how to download the Nirvana annotation database, please refer to

For more details see:

For more information, see .

For more information, see .

Analysis of a full batch of germline samples with an automatically generated in-run PON can be performed using or DRAGEN Germline Enrichment on .

CNV PONs can also be built in the cloud using the or the DRAGEN Systematic Noise File Builder Pipeline on .

Product Files
Somatic Mode
Nirvana
VNTR Calling
CNV Calling
DRAGEN Enrichment on BaseSpace
ICA
DRAGEN Baseline Builder App on BaseSpace
ICA
Panel of Normals