Pauline Hamon-Giraud

The paper develops a computational framework to model soil microbiome metabolic potential in the Atacama Desert, identifying key species and functions across different environmental conditions.

This study analyzes 60 brown algal genomes to identify genomic innovations and evolutionary patterns that enabled their adaptation to coastal ecosystems.

EsMeCaTa estimates consensus proteomes and metabolic functions from taxonomic data, validated on environmental datasets and applied to a methanogenic reactor study.