PD ISO/TS 22692:2020 - Genomics Informatics: Quality Control Metrics for DNA Sequencing

Standard Number: PD ISO/TS 22692:2020

Pages: 24

Released: 2020-10-12

ISBN: 978 0 539 00455 7

Status: Standard

Overview

In the rapidly evolving field of genomics, ensuring the accuracy and reliability of DNA sequencing is paramount. The PD ISO/TS 22692:2020 standard provides a comprehensive framework for quality control metrics in DNA sequencing, offering a robust guideline for laboratories and researchers to maintain high standards in their genomic analyses.

Why Choose PD ISO/TS 22692:2020?

This standard is essential for any organization involved in genomics research or applications. It provides a detailed set of metrics that are crucial for assessing the quality of DNA sequencing data. By adhering to these guidelines, laboratories can ensure that their sequencing results are both accurate and reproducible, which is critical for advancing scientific research and clinical applications.

Key Features

• Comprehensive Quality Metrics: The standard outlines a variety of metrics that cover different aspects of DNA sequencing quality, ensuring a holistic approach to quality control.
• Internationally Recognized: As an ISO standard, it is recognized globally, facilitating international collaboration and standardization in genomics research.
• Up-to-Date Guidelines: Released in October 2020, this standard reflects the latest advancements and best practices in the field of genomics informatics.

Applications

The PD ISO/TS 22692:2020 standard is applicable across a wide range of sectors within the genomics field, including:

• Research Laboratories: Ensures that research findings are based on high-quality, reliable data.
• Clinical Diagnostics: Supports the accuracy of genetic testing and personalized medicine.
• Biotechnology Companies: Enhances the development of genomic products and services.

Benefits of Implementing the Standard

Implementing the PD ISO/TS 22692:2020 standard offers numerous benefits, including:

• Improved Data Quality: By following the quality control metrics, organizations can significantly enhance the reliability of their sequencing data.
• Increased Credibility: Adhering to an internationally recognized standard boosts the credibility of your research and findings.
• Enhanced Collaboration: Standardization facilitates easier collaboration with other organizations and researchers worldwide.

Structure and Content

With 24 pages of detailed guidelines, the PD ISO/TS 22692:2020 standard is structured to provide clear and concise information on quality control metrics. It includes:

• Introduction to Genomics Informatics: An overview of the field and the importance of quality control in DNA sequencing.
• Detailed Metrics: Specific metrics and parameters to assess the quality of sequencing data.
• Implementation Guidelines: Practical advice on how to apply these metrics in various settings.

Conclusion

The PD ISO/TS 22692:2020 standard is an invaluable resource for anyone involved in DNA sequencing and genomics informatics. By providing a clear set of quality control metrics, it helps ensure that sequencing data is accurate, reliable, and reproducible. Whether you are in a research laboratory, a clinical setting, or a biotechnology company, this standard is essential for maintaining the highest standards in your genomic work.

Invest in the PD ISO/TS 22692:2020 standard today and take a significant step towards ensuring the quality and reliability of your DNA sequencing data.

PD ISO/TS 22692:2020

This standard PD ISO/TS 22692:2020 Genomics informatics. Quality control metrics for DNA sequencing is classified in these ICS categories:

• 35.240.80 IT applications in health care technology

This document identifies quality metrics for the detection of DNA variants using next generation sequencing (NGS) technology. It also defines the data types, relationships, optionality, cardinalities and terminology bindings of the data.

This document provides a basis for sharing and for the application of “high quality” genomic data and contributes to the realization of the precision medicine and the development of relevant industries.

This document is intended to serve as a catalogue of sequencing data elements used to address quality metrics for various clinical, industrial and commercial applications. The exchange of these data allows researchers, commercial entities, and regulatory bodies to assess for the purpose of selective utilization of the data by setting application-specific quality criteria

This document is not intended for

• sequencing methods other than NGS, such as the Sanger sequencing,

• targets other than genome, such as transcriptome or proteome, or

• specimens of species other than humans.