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Early Detection of Emerging SARS-CoV-2 Variants From Wastewater Through Genome Sequencing and Machine Learning

Summary by Nature
Genome sequencing from wastewater enables accurate and cost-effective identification of SARS-CoV-2 variants. However, existing computational pipelines have limitations in detecting emerging variants not yet characterized in humans. Here, we present an unsupervised learning approach that clusters co-varying and time-evolving mutation patterns to identify SARS-CoV-2 variants. To build our model, we sequence 3659 wastewater samples collected over t…

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infectioncontroltoday.com broke the news in on Thursday, July 10, 2025.
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