DRAGEN v4.5: Expanding Accurate Variant Discovery Across the Entire Genome

DRAGEN™ v4.5 is now available with significant advances in machine learning (ML) -driven secondary analysis, delivering improved accuracy across germline, somatic, and multiomic workflows while preserving production‑scale performance.

As sequencing volumes increase and applications expand into increasingly complex use cases, analysis teams are under pressure to deliver higher accuracy across challenging genomic regions without sacrificing pipeline speed, scalability, or operational complexity. DRAGEN v4.5 addresses these challenges by combining ML‑driven innovation with production‑scale performance, enabling more reliable insights across germline, somatic, and multiomic workflows.

In this technical webinar, you will learn about key DRAGEN v4.5 advancements, including:

• Improved accuracy in hard-to-resolve genomic regions through ML‑driven variant calling and an enhanced pangenome reference
• Enhanced somatic variant detection for FFPE and low‑VAF samples, as well as unified CNV and SV outputs
• Expanded research support for MRD and oncovirus workflows, along with improved RNA fusion analytical sensitivity and Partial Tandem Duplication (PTD)/Internal Tandem Duplication (ITD) detection
• Continuous reductions in germline error rates, improving confidence in variant calls
• Phased variant calls, improved structural variant detection, and enhanced resolution of difficult‑to‑map genomic regions using proximity‑mapped read technology, as demonstrated by key capabilities and accuracy data from the newly announced Illumina TruPath™ Genome

These advancements build on existing industry-leading DRAGEN capabilities, reflecting Illumina's continued commitment to delivering ongoing value for existing customers while also introducing new functionalities that are highly compelling for new adopters.

Join us to learn how DRAGEN v4.5 enables deeper biological insights while delivering unmatched speed, scale, and operational simplicity required for production workflows.

_{For Research Use Only. Not for use in diagnostic procedures.}

^M-GL-04201

Speaker

Shyamal Mehtalia, MS
Director, Software Technical Product Management
Illumina