Iacopo Passeri

MErlin integrates bacterial methylome data with other omics data to produce gene-level evidence and reports, using a modular toolkit and LLM interface.

This study compares how root exudates from wild and cultivated rice affect bacterial endophytes, finding that wild rice promotes more beneficial microbial interactions.

The paper analyzes DNA methylation patterns across 21 Sinorhizobium meliloti strains, revealing epigenomic diversity linked to genome structure and phenotypic variation.

The paper investigates how antimicrobial exposure affects bacterial metabolism using transcriptomics and computational modeling, finding that experimental conditions influence metabolic networks more than antimicrobial type, but common metabolic strategies exist.

The paper introduces MeStudio, a tool for analyzing DNA methylation from SMRT sequencing data, and demonstrates its application on bacterial genomes.