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Reliable and accurate diagnostics from highly multiplexed sequencing assays.

A Sina Booeshaghi1, Nathan B Lubock2, Aaron R Cooper2

  • 1Department of Mechanical Engineering, California Institute of Technology, Pasadena, CA, USA.

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A new computational workflow using kallisto and bustools offers fast, accurate analysis for SARS-CoV-2 sequencing tests. This scalable solution addresses challenges in highly multiplexed sequencing assays (HMSAs) for pandemic control.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Infectious Disease Diagnostics

Background:

  • Control of the SARS-CoV-2 pandemic requires scalable, inexpensive, and secure testing.
  • Highly multiplexed sequencing assays (HMSAs) offer a promising alternative to RT-qPCR but face computational and statistical challenges.
  • Reliable data analysis is critical for the clinical implementation of sequencing-based diagnostic tests.

Purpose of the Study:

  • To present and validate a computational workflow for processing high-throughput sequencing data from SARS-CoV-2 diagnostic tests.
  • To address the computational and statistical challenges hindering the clinical use of HMSAs.
  • To provide a fast, accurate, and reliable method for analyzing sequencing data in infectious disease diagnostics.

Main Methods:

  • Development and validation of a computational workflow utilizing kallisto and bustools.
  • Application of robust statistical methods and efficient algorithms for data processing.
  • Testing the workflow's effectiveness on recently acquired experimental data from SARS-CoV-2 sequencing assays.

Main Results:

  • The kallisto and bustools workflow demonstrated fast, accurate, and reliable processing of high-throughput sequencing data.
  • The workflow effectively handles data from various proposed SARS-CoV-2 sequencing-based diagnostic tests.
  • The computational approach is generally applicable to any diagnostic HMSA, showcasing its versatility.

Conclusions:

  • The validated computational workflow overcomes key challenges in analyzing SARS-CoV-2 sequencing data.
  • This approach enables the reliable clinical use of highly multiplexed sequencing assays for pandemic response.
  • The workflow's general applicability supports its adoption for diverse diagnostic HMSA applications.