Computerized decision tool for sars-cov-2 variants prediction

A method for screening genetic mutations to produce vaccines, the method comprising:

• selecting a plurality of genome samples;
• partitioning the plurality of genome samples into N groups, where N is an integer larger than 1;
• identifying genomic isolates with phenotypic statuses from each of the N groups of genome samples by training at least one linear support vector machine with the genome samples, the identification of the isolates between each of the N groups of the genomic isolates performed in parallel;
• and
• assessing the identified genomic isolates using a performance metric.

A computerized system for screening genetic mutations for predicting vaccine composition, the system comprising:

• one or more processors;
• and
• a computer memory having computer-executable instructions stored thereon for performing operations when executed by one or more processors, the operations comprising:
• selecting a plurality of genome samples;
• identifying genomic isolates with phenotypic statuses from the selected genome samples by training at least one linear support vector machine with the genome samples;
• assessing the identified genomic isolates using a performance metric;
• and
• producing nucleic acid compositions using the identified genomic isolates to produce a vaccine.