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Related Experiment Videos

High-throughput sequencing: a failure mode analysis.

George S Yang1, Jeffery M Stott, Duane Smailus

  • 1Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Centre, Suite 100, 570 West 7th Avenue, Vancouver, BC, Canada. gyang@bcgsc.ca

BMC Genomics
|January 6, 2005
PubMed
Summary
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Analyzing sequencing failures in high-throughput facilities reveals common issues. Understanding these failure modes, including process and template-related problems, is key to improving DNA sequencing quality and efficiency.

Area of Science:

  • Genomics
  • Molecular Biology
  • Biotechnology

Background:

  • High-throughput sequencing facilities face pressure to enhance quality, efficiency, and reduce costs.
  • Typical failure rates in these centers approach 10%, with causes often unanalyzed and unreported.
  • Manufacturing principles are crucial for optimizing operations in large-scale sequencing.

Purpose of the Study:

  • To conduct a failure mode analysis in a production sequencing facility.
  • To identify and categorize the root causes of sporadic sequencing failures.
  • To provide data for improving the performance of sequencing pipelines.

Main Methods:

  • Performed a detailed evaluation of 9,216 expressed sequence tags (ESTs).
  • Analyzed data generated from two complementary DNA (cDNA) libraries.

Related Experiment Videos

  • Categorized failures into process-related and template-related types.

    • Main Results:

    • Identified two primary categories of sequencing failures: process-related and template-related.
    • Process-related failures stem from equipment or sample handling issues.
    • Template-related failures are linked to the inherent properties of the template DNA sequence, observable in electropherograms.

    Conclusions:

    • A thorough understanding of failure modes is essential for improving sequencing performance.
    • Implementing preventative actions based on failure analysis can enhance production sequencing pipelines.
    • This study provides a framework for analyzing and mitigating failures in high-throughput sequencing operations.