Christian M. Reidys

This paper introduces a framework using genomic sequence data to predict the threat of novel SARS-CoV-2 lineages by analyzing co-evolving motifs and evaluates its performance across multiple lineages and countries.

This paper introduces a framework for detecting SARS-CoV-2 variants of interest and concern using co-evolutionary signals in genomic sequences, detecting them weeks earlier than current methods.