Yann Le Cunff

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.

The paper develops a computational pipeline to classify gut microbiome states using functional annotations, showing comparable performance to microbial profiles and identifying reliable discriminant variables.

The paper identifies three archetypes of spindle elongation in C. elegans embryos that capture most inter-individual variability, revealing that only three independent mechanisms drive spindle elongation across conditions.

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