This paper introduces QualD, a novel bioinformatics tool for detecting SARS-CoV-2 variants of concern (VoCs) in wastewater. QualD offers three key advantages: earlier VoC detection (up to 3 weeks earlier), high accuracy (over 95% precision in simulated benchmarks), and the ability to utilize all mutational signatures, including insertions and deletions. The tool's performance is demonstrated on real Houston wastewater data, showing improved precision and earlier detection compared to the state-of-the-art tool Freyja.
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
Tags
SARS-CoV-2
variants of concern
bioinformatics
wastewater
early detection
precision
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