Frédéric Guillaume

LDscnR reduces genome scan tests by grouping correlated markers using LD decay, improving precision while maintaining recall, and showing structure can explain outlier regions.

Nemo 2.4 simulates eco-evolutionary dynamics and quantitative traits with flexible genetic models and efficient computation.

The paper identifies genomic architectures associated with parasitism loss in lampreys, showing distinct genomic features across different ecotypes and highlighting independent evolutionary paths.

This paper introduces an LD-scaled association statistic to improve detection of genomic regions under selection by incorporating linkage disequilibrium and reducing background noise.

The paper shows that stronger indirect selection drives evolutionary changes in gene expression, particularly at more pleiotropic genes in red flour beetles under stress.

The paper combines fitness and transcriptomic data in Tribolium castaneum to show gene expression responses to drought, heat, and their combination, revealing mostly additive effects and adaptive plasticity.