SARS-CoV-2 variants classification and characterization
Published in Proceedings of 14th International Conference on Bioinformatics and Computational Biology, 2022
The idea of this work is to automatize the process of analysis and description of the SARS-CoV-2 virus starting from a sample of its genome and to be able to assign a group of samples to the correct variant. By using a clustering algorithm, in the end, it’s also possible to distinguish a new variant and obtain a description of its most common mutations.
Recommended citation: Sofia Borgato, Marco Bottino, Marta Lovino, and Elisa Ficarra (2022). " SARS-CoV-2 variants classification and characterization " Proceedings of 14th International Conference on Bioinformatics and Computational Biology. https://doi.org/10.29007/5qpk