File: dragen.md

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multiqc 1.21%2Bdfsg-3
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---
name: DRAGEN
url: https://www.illumina.com/products/by-type/informatics-products/dragen-bio-it-platform.html
description: >
  Illumina Bio-IT Platform that uses FPGA for secondary NGS analysis.
---

[Illumina DRAGEN](https://www.illumina.com/products/by-type/informatics-products/dragen-bio-it-platform.html)
is a Bio-IT Platform that provides ultra-rapid secondary analysis of sequencing data using field-programmable
gate array technology (FPGA).

DRAGEN has a number of different pipelines and outputs, including base calling, DNA and RNA alignment,
post-alignment processing and variant calling, covering virtually all stages of typical NGS data processing.
For each stage, it generates QC files with metrics resembling those of samtools-stats, mosdepth, bcftools-stats
and alike. This MultiQC module supports some of the output but not all.

- `<output prefix>.wgs_fine_hist_<tumor|normal>.csv`
  - Coverage distribution and cumulative coverage plots
- `<output prefix>.mapping_metrics.csv`
  - General stats table, a dedicated table, and a few barplots
- `<output prefix>.wgs_coverage_metrics_<tumor|normal>.csv`
  - General stats table and a dedicated table
- `<output prefix>.qc-coverage-region-<1|2|3>_coverage_metrics.csv`
  - General stats table and a dedicated table
- `<output prefix>.wgs_contig_mean_cov_<tumor|normal>.csv`
  - A histogram like in mosdepth, with each chrom as a category on X axis, plus a category for autosomal chromosomes average
- `<output prefix>.fragment_length_hist.csv`
  - A histogram plot
- `<output prefix>.ploidy_estimation_metrics.csv`
  - Add just Ploidy estimation into the general stats table
- `<output prefix>.vc_metrics.csv`
  - A dedicated table and the total number of Variants into the general stats table
- `<output prefix>.gc_metrics.csv`
  - A histogram and summary statistics table on GC content metrics
- `<output prefix>.trimmer_metrics.csv`
  - A summary table of tirmmer metrics
- `<output prefix>.time_metrics.metrics`
  - A bar graph of the total run time and a breakdown of the run time of each individual step
- `<output prefix>.quant.metrics.csv`
  - A bar graph of RNA fragments
- `<output prefix>.quant.transcript_coverage.txt`
  - A line plot of average coverage along RNA transcripts
- `<output prefix>.scRNA.metrics.csv` or `<output prefix>.scRNA_metrics.csv`
  - Summary table for single-cell RNA metrics
- `<output prefix>.scATAC.metrics.csv` or `<output prefix>.scATAC_metrics.csv`
  - Summary table for single-cell ATAC metrics

Each QC output adds a section into the report if a corresponding QC file is found.