Enabling accurate and early detection of recently emerged SARS-CoV-2 variants of concern in wastewater.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 37198181.
- Also identified by DOI 10.1038/s41467-023-38184-3 and PMC identifier 10191095.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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 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).
Medical subject headings
- COVID-19