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

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 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). Sapoval et al. introduce QuaID, a bioinformatics tool for SARS-CoV-2 variant detection based on quasi-unique mutations. QuaID leverages all mutations, including insertions and deletions, and provides precise detection of variants early in their spread.