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Time-series trend of pandemic SARS-CoV-2 variants visualized using batch-learning self-organizing map for oligonucleotide compositions

2021-04-15

Abstract excerpt

<h4>ABSTRACT</h4> To confront the global threat of coronavirus disease 2019, a massive number of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome sequences have been decoded, with the results promptly released through the GISAID database. Based on variant types, eight clades have already been defined in GISAID, but the diversity can be far greater. Owing to the explosive increase in availab...

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Literature Corpus work
ad3ae862-108d-52b2-a236-aaa2d711ac8a
DOI
10.1101/2021.04.15.439956
Open publication

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Time-series trend of pandemic SARS-CoV-2 variants visualized using batch-learning self-organizing map for oligonucleotide compositionsDOI 10.1101/2021.04.15.439956
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