B-G.37: W-ASAP: Rapid Interactive Wastewater-based Viral Variant Detection
Wastewater-based genomic surveillance enables population-level monitoring of viral diversity, with its utility for early variant detection and tracking resistance mutations having been demonstrated in various studies. However, the large size of the sequencing data have made analysis workflows technically demanding and slow. Existing dashboards and reports typically address a limited set of predefined questions but do not allow users to explore the data independently.
The W-ASAP platform addresses these limitations by providing an interactive, browser-based system for real-time exploration of read-level wastewater sequencing data. Built on the genomic query engines LAPIS and RhyDB, which index hundreds of millions of reads, it enables querying of large datasets within milliseconds. This allows rapid identification and analysis of emerging variants, reducing turnaround times from days to minutes. The platform currently supports SARS-CoV-2 and RSV, providing public dashboards and APIs.
Co-authors: Gordon Koehn, Felix Hennig, Ivan Topolsky, Chaoran Chen, Tanja Stadler, Niko Beerenwinkel
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