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Using Genome Sequence Data to Predict SARS-CoV-2 Detection Cycle Threshold Values

2022-11-15

Abstract excerpt

The continuing emergence of SARS-CoV-2 variants of concern (VOCs) presents a serious public health threat, exacerbating the effects of the COVID19 pandemic. Although millions of genomes have been deposited in public archives since the start of the pandemic, predicting SARS-CoV-2 clinical characteristics from the genome sequence remains challenging. In this study, we used a collection of over 29,000 high quality SA...

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Literature Corpus work
80afb871-655c-5557-bde5-196c8fdc754b
DOI
10.1101/2022.11.14.22282297
Open publication

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Using Genome Sequence Data to Predict SARS-CoV-2 Detection Cycle Threshold ValuesDOI 10.1101/2022.11.14.22282297
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