Tracking SARS-CoV-2 variants of concern in wastewater: an assessment of nine computational tools using simulated genomic data
Steven G. Sutcliffe, Susanne A. Kraemer, Isaac Ellmen, Jennifer J. Knapp, Alyssa K. Overton, Delaney Nash, Jozef I. Nissimov, Trevor C. Charles, David Dreifuss, Ivan Topolsky, Pelin Icer Baykal, Lara Fuhrmann, Kim Philipp Jablonski, Niko Beerenwinkel, Joshua I. Levy, , B. Jesse Shapiro
The paper evaluates nine computational tools for identifying SARS-CoV-2 lineages in wastewater sequencing data using simulated samples, finding most tools reliably detect lineages above 5% frequency.
Microbial Genomics · May 24, 2024Peer-reviewedBioinformatics