Bioinformatics tool for epidemiological surveillance of SARS-CoV-2 mutations and spread
A study published in Nature Microbiology reveals the great advantage of wastewater monitoring as being rapid, unbiased and cost-effective: the detection of genomic variants of SARS-CoV-2 in wastewater offers an early alert and can be based on fewer samples as compared to clinical samples.
The bioinformatics tool developed by the group of Niko Beerenwinkel in collaboration with Eawag and EPFL and the group of Tanja Stadler identifies genomic signatures of coronavirus mutations in wastewater.
Find original publication in Nature Microbiology:
Jahn, K, D Dreifuss, I Topolsky, A Kull, P Ganesanandamoorthy, X Fernandez-Cassi, C Bänziger, A J Devaux, E Stachler, L Caduff, F Cariti, A Tuñas Corzon, L Fuhrmann, C Chen, K P Jablonski, S Nadeau, M Feldkamp, C Beisel, C Aquino, T Stadler, C Ort, T Kohn, T R Julian, and N Beerenwinkel (2022) external page Detection and surveillance of SARS-CoV-2 genomic variants in wastewater. Nature Microbiology, DOI 10.1038/s41564-022-01185-x