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Genome-wide identification and prediction of SARS-CoV-2 mutations show an abundance of variants: Integrated study of bioinformatics and deep neural learning

1 Jan 2021

Abstract excerpt

Genomic data analysis is a fundamental system for monitoring pathogen evolution and the outbreak of infectious diseases. Based on bioinformatics and deep learning, this study was designed to identify the genomic variability of SARS-CoV-2 worldwide and predict the impending mutation rate. Analysis of 259044 SARS-CoV-2 isolates identified 3334545 mutations with an average of 14.01 mutations per isolate. Globally,...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 34812411
DOI: 10.1016/j.imu.2021.100798

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