Sapoval, NicolaeLiu, YunxiLou, Esther G.Hopkins, LorenEnsor, Katherine B.Schneider, RebeccaStadler, Lauren B.Treangen, Todd J.2023-07-212023-07-212023Sapoval, Nicolae, Liu, Yunxi, Lou, Esther G., et al.. "Enabling accurate and early detection of recently emerged SARS-CoV-2 variants of concern in wastewater." <i>Nature Communications,</i> 14, (2023) Springer Nature: https://doi.org/10.1038/s41467-023-38184-3.https://hdl.handle.net/1911/115014As 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 QuaID, a novel bioinformatics tool for VoC detection based on quasi-unique mutations. The benefits of QuaID 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).engExcept where otherwise noted, this work is licensed under a Creative Commons Attribution (CC BY) license.  Permission to reuse, publish, or reproduce the work beyond the terms of the license or beyond the bounds of Fair Use or other exemptions to copyright law must be obtained from the copyright holder.Journal articles41467-023-38184-3https://doi.org/10.1038/s41467-023-38184-3