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In silico genomic surveillance by CoVerage predicts and characterizes SARS-CoV-2 variants of interest - Nature Communications In this study, the authors report the CoVerage tool ( www.sarscoverage.org ) for viral genomic surveillance and show that it predicted SARS-CoV-2 Variants of Concern, of Interest and under Monitoring together with their antigenic and evolutionary alterations almost three months prior to their WHO designation.

CoVerage detects and characterizes SARS CoV 2 variants of interest by real-time lineage tracking and antigenic alteration scoring. 
#GenomicSurveillance #COVID19 #VariantPrediction
👤EVBC: Martin Hölzer, Alice McHardy
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Excited to speak at VEPTC 2025 in Porto this Sept 28–Oct 1! Join us for hands-on training + cutting edge insights in variant effect prediction.
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#VEPTC2025 #Genomics #Bioinformatics #VariantPrediction

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📢Join us for the first Variant Effects Seminar Series OPEN MIC session Dec 3, 9-10am PT (5-6pm GMT+1). w/special guests Benedetta Bolognesi & Jonathan Frazer. #OpenMic #VariantPrediction #VariantOfUncertainSignificance
🎙️ℹ️ www.varianteffect.org/seminar-series

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