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How automation and integrated sample QC enhance a targeted long-read-sequencing workflow

RECORD | Already taken place Tu, 4.11.2025
Discover how automation and integrated QC streamline targeted long-read sequencing. Learn how Agilent and PacBio technologies overcome short-read limitations in genetic variant detection.
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SelectScience: How automation and integrated sample QC enhance a targeted long-read-sequencing workflow
SelectScience: How automation and integrated sample QC enhance a targeted long-read-sequencing workflow

As the demand for greater accuracy and efficiency in genetic analysis grows, new approaches are needed to overcome the blind spots of conventional sequencing methods. This webinar will showcase a fully automatable workflow that integrates Agilent SureSelect hybrid capture, Agilent automated electrophoresis systems for sample quality control with PacBio HiFi long-read sequencing.

In addition to discussing workflow, we’ll share case studies where long reads play a fundamental role in identifying genetic variants that may be missed by conventional sequencing in research studies.

Join us to learn how targeted long-read sequencing:

  • Focuses on genes and regions of interest in genetic research, while reducing costs and boosting sequencing depth at key loci.
  • Overcomes the limitations of short-read technologies, including challenges with pseudogenes, homologous loci, structural variants, complex transcript isoforms, splicing events, and difficult regions such as repetitive or GC-rich sequences.
  • Enhances both analytical performance and laboratory efficiency through automation.

Key learning objectives:

  • Gain practical insights into implementing an automated targeted long-read sequencing workflow in the laboratory.
  • Identify the genetic mutation types best suited for targeted long-read sequencing approaches.
  • Understand the analytical advantages of long-read sequencing compared with conventional short-read methods.

Who should attend?

  • Lab directors, molecular pathologists, research scientists, clinical lab technicians, and anyone running or interested in running NGS workflows.
Certificate of attendance
  • If you attend the live webinar, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes.
  • If you view the on-demand webinar, you can request a certificate of attendance by emailing [email protected].

For Research Use Only. Not for use in diagnostic procedures. PR7003-294

Presenter: Iván Lesende Rodríguez, PhD (Chief Product Officer, Health in Code)

Iván Lesende Rodríguez is a senior genomics and bioinformatics leader with over 15 years of experience in NGS, omics data analysis, and genetic diagnostics. He completed his PhD jointly at the University of A Coruña (UDC) and University College London (UCL), focusing on molecular mechanisms of disease and omics analyses. In 2010, he joined Health in Code as a Sequencing Specialist, contributing to the early implementation of NGS workflows. He later joined Agilent Technologies (2015), where he held multiple roles, developing tailored NGS solutions for clients. Since 2025, as Chief Product Officer (CPO) at Health in Code, he leads the company’s product strategy and innovation.

Presenter: Bettina Strauch, PhD (Product Manager - Automated Electrophoresis Product Portfolio, Agilent Technologies)

Bettina Strauch, PhD, is a product manager within the automated electrophoresis marketing team at Agilent Technologies and is based in Waldbronn, Germany. Since joining Agilent in 2018, she has been responsible for the automated electrophoresis product portfolio with a particular focus on the TapeStation systems. Prior to her role at Agilent, she held a postdoctoral research position at the Karlsruhe Institute of Technology, Germany, where she focused on toxicological in vitro research, gene expression profiling, and the development of high-throughput analytical techniques in molecular biology and biochemistry.

Moderator: Matilde Marques (Life Sciences Assistant Editor, SelectScience)

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