Laurence Josset

The paper benchmarks viral prediction tools in low-abundance metagenomes and finds that combining tools improves viral detection while reducing false positives.

This study evaluates four NGS methods for SARS-CoV-2 whole-genome sequencing, finding that amplicon-based methods are most sensitive for low viral loads while mNGS and RVOP produce the most complete genomes for mid viral loads.

This study tracks influenza virus diversity over time in immunocompetent patients, finding higher diversity in late-stage mild cases and specific segment differences across clinical groups.