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A fast and accurate method for SARS-CoV-2 genomic tracing.

Wentai Ma1,2, Leisheng Shi1,2, Mingkun Li1,2

  • 1Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing 100101, China.

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|October 2, 2023
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Summary

A new genomic tracing algorithm rapidly identifies pathogen origins and transmission routes by analyzing sequence similarity. This method efficiently processes millions of sequences, aiding infectious disease control and future pathogen investigations.

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Area of Science:

  • Genomic epidemiology
  • Computational biology
  • Infectious disease surveillance

Background:

  • Effective containment of infectious diseases requires understanding pathogen origin, transmission, and evolution.
  • Genome sequencing and genomic epidemiology are vital tools for pathogen investigation.
  • Large-scale genomic data, like that from the COVID-19 pandemic, presents significant computational challenges for traditional tracing methods.

Purpose of the Study:

  • To address the limitations of existing methods for large-scale genomic tracing of pathogens.
  • To develop a novel, efficient algorithm for identifying genetically similar sequences.
  • To create a user-friendly platform for genomic tracing and visualization.

Main Methods:

  • Developed a novel genomic tracing algorithm utilizing a weighted scoring system based on mutation characteristics.
  • Quantified sequence similarity without constructing large phylogenetic trees.
  • Implemented an online platform for genomic tracing and spatiotemporal visualization.

Main Results:

  • The new algorithm processed 6 million SARS-CoV-2 sequences in under a minute.
  • Demonstrated superior performance compared to existing phylogenetic and similarity search methods.
  • Successfully facilitated genomic tracing and visualization of sequence distribution.

Conclusions:

  • The developed algorithm offers a significant improvement in efficiency and scalability for genomic tracing.
  • The method is adaptable for various pathogens, supporting routine genomic surveillance.
  • This approach enhances epidemiological investigations and infectious disease control efforts.