Elia Mascolo

This study investigates why transcription factors use simple, uncorrelated binding motifs despite potential benefits of correlated ones, finding that simpler strategies are more robust to mutations.

This paper develops a framework to analyze composite sequence motifs by integrating mutational and biophysical factors, showing that information can be encoded through both sequence patterns and spacer distances.

The paper tracks the emergence and global spread of 7 SARS-CoV-2 amino acid variants, identifying 6 phylogenetic clades with changing frequencies over time.