We downloaded data from the NCBI30 repository on March 15th, 2020, with the following query: gene = “ORF1ab” AND host = “homo sapiens” AND “complete genome”. The query resulted in 407 non-repeated sequences (Table 3 (right)). We call this dataset NCBI-A, where 68 sequences belong to SARS-CoV-2. Then, we applied the procedure to translate the data into the set of sequence features, and we run the same state-of-the-art feature selection algorithm45. The result is a list of 10 different sequences (Table 1), for which just checking for their presence is enough to differentiate between SARS-CoV-2 and other viruses in the dataset, with a 100% accuracy. Each of the sequences, in fact, only appears in SARS-CoV-2 samples.

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