Gabriele Pedruzzi

An evolution-based high-fidelity method of epistasis measurement: theory and application to influenza

The paper develops a method to measure epistasis from sequence data by filtering out false interactions, applying it to influenza virus sequences to infer an epistatic network between pre-pandemic and pandemic strains.

Epistasis detectably alters correlations between genomic sites in a narrow parameter window

The paper shows that epistasis can be detected in genomic data within a narrow parameter window, but is masked by linkage outside this range unless recombination is strong.