VSWarehouse 3: Secondary Analysis Platform Overview

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About this webcast

June 25, 2025 // 12:00 EST

Presented By: Darby Kammeraad, Director of Field Application Services

As next-generation sequencing (NGS) continues to drive advancements in clinical diagnostics and genomic research, the demand for streamlined, scalable, and versatile secondary analysis platforms has never been greater. VSWarehouse 3 introduces a groundbreaking approach to NGS data processing, offering a modular, vendor-agnostic ecosystem that simplifies deployment, enhances performance, and supports both short- and long-read sequencing technologies. Join us for an exclusive webcast to explore how VSWarehouse 3 empowers laboratories to automate workflows, maximize variant calling accuracy, and adapt to diverse sequencing platforms, all within a unified, cloud-scalable environment.
In this session, we will:

  • Illustrate the simplified installation and utility of VSWarehouse 3 using a monolithic Docker instance, enabling centralized access to secondary and tertiary pipelines via a single browser-based workspace.
  • Showcase the ease of integrating prebundled secondary analysis packages (e.g., Sentieon, PacBio WDL, and Archer) with full customizability for germline and somatic use cases.
  • Highlight the power of hybrid short- and long-read analysis, achieving superior SNP, indel, and structural variant detection, with real-world examples from Sentieon’s DNAScope Hybrid caller.
  • Illustrate advanced capabilities, including CNV calling, pharmacogenomics (PGx) with CYPCaller, and new tandem repeat analysis for long-read data, delivering unmatched clinical yield.

  • Whether you’re optimizing on-premises infrastructure or leveraging cloud scalability, discover how VSWarehouse 3’s open integration framework supports platforms like Illumina, PacBio, and ONT, while fostering collaboration with third-party tools and pipelines. Join us to learn how your organization can harness VSWarehouse 3 to drive efficiency, accuracy, and innovation in NGS analysis, from raw FASTQ data to clinical reports.

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