Lineage abundance estimation for SARS-CoV-2 in wastewater using transcriptome quantification techniques

Lineage abundance estimation for SARS-CoV-2 in wastewater using transcriptome quantification techniques

Abstract Effectively monitoring the spread of SARS-CoV-2 mutants is essential to efforts to counter the ongoing pandemic. Predicting lineage abundance from wastewater, however, is technically challenging. We show that by sequencing SARS-CoV-2 RNA in wastewater and applying algorithms initially used...

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Bibliographic Details
Main Authors: Jasmijn A. Baaijens, Alessandro Zulli, Isabel M. Ott, Ioanna Nika, Mart J. van der Lugt, Mary E. Petrone, Tara Alpert, Joseph R. Fauver, Chaney C. Kalinich, Chantal B. F. Vogels, Mallery I. Breban, Claire Duvallet, Kyle A. McElroy, Newsha Ghaeli, Maxim Imakaev, Malaika F. Mckenzie-Bennett, Keith Robison, Alex Plocik, Rebecca Schilling, Martha Pierson, Rebecca Littlefield, Michelle L. Spencer, Birgitte B. Simen, Yale SARS-CoV-2 Genomic Surveillance Initiative, William P. Hanage, Nathan D. Grubaugh, Jordan Peccia, Michael Baym
Format: Article
Language:English
Published: BMC 2022-11-01
Series:Genome Biology
Online Access:https://doi.org/10.1186/s13059-022-02805-9

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