Alessandra Merlotti

This study uses sewage metagenomics to distinguish seasonal, human-derived, and environmental microbial communities, offering potential for improved AMR surveillance.

This study investigates biases in network reconstruction from metagenomic data using correlation measures and shows how compositional data transformations can improve accuracy.

This study analyzes network reconstruction biases in metagenomic data using correlation measures and shows how compositional data transformations improve accuracy.