Efficient discovery of frequently co-occurring mutations in a sequence database with matrix factorization.

Abstract excerpt

We have developed a robust method for efficiently tracking multiple co-occurring mutations in a sequence database. Evolution often hinges on the interaction of several mutations to produce significant phenotypic changes that lead to the proliferation of a variant. However, identifying numerous simultaneous mutations across a vast database of sequences poses a significant computational challenge. Our approach...

Topics

• SARS-CoV-2
• Mutation
• Spike Glycoprotein, Coronavirus
• Humans
• Computational Biology
• COVID-19
• Databases, Genetic