Rapid Detection of SARS-CoV-2 Variants of Concern by Genomic Surveillance Techniques
Description
This chapter describes the application of genomic, transcriptomic, proteomic, and metabolomic methods in the study of SARS-CoV-2 variants of concern. We also describe the important role of machine learning tools to identify the most significant
