BiologyNature Communications

Enabling accurate and early detection of recently emerged SARS-CoV-2 variants of concern in wastewater

N. Sapoval, Y. Liu, et al.

Discover QualD, a groundbreaking bioinformatics tool designed to detect SARS-CoV-2 variants in wastewater, offering faster detection up to three weeks earlier and exceptional accuracy over 95%. Developed by Nicolae Sapoval, Yunxi Liu, Esther G. Lou, Loren Hopkins, Katherine B. Ensor, Rebecca Schneider, Lauren B. Stadler, and Todd J. Treangen, QualD outperforms traditional tools, setting a new standard in public health monitoring.... show more

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Abstract

As clinical testing declines, wastewater monitoring can provide crucial surveillance on the emergence of SARS-CoV-2 variant of concerns (VoCs) in communities. In this paper we present QualD, a novel bioinformatics tool for VoC detection based on quasi-unique mutations. The benefits of QualD are three-fold: (i) provides up to 3-week earlier VoC detection, (ii) accurate VoC detection (>95% precision on simulated benchmarks), and (iii) leverages all mutational signatures (including insertions & deletions).

Publisher

Nature Communications

Published On

May 17, 2023

Authors

Nicolae Sapoval, Yunxi Liu, Esther G. Lou, Loren Hopkins, Katherine B. Ensor, Rebecca Schneider, Lauren B. Stadler, Todd J. Treangen

DOI

https://doi.org/10.1038/s41467-023-38184-3

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