Unsupervised outlier detection applied to sars-cov-2 nucleotide sequences can identify sequences of common variants and other variants of interest

HIGHLIGHTS

SUMMARY

The "Results" section presents the findings on the clustering and outlier detection of SARS-CoV-2 nucleotide sequences. The authors describe data acquisition and cleaning ("Data acquisition and cleaning" section), the assessment of the similarity of nucleotide sequences ("Assessing the similarity of nucleotide sequences" section), the methods used for outlier detection among sequences ("Outlier detection" section), and the calibration of the outlier detection ("Calibration" section). Data acquisition and cleaning All findings reported in this article are based on an image of all available SARS-CoV-2 nucleotide sequences in the GISAID database until 28 . . .

 



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