Miguel Navascués

SelNeTime infers effective population size and selection intensity from genomic time series data using an improved HMM approach with Beta with Spikes approximation.

This study evaluates adaptive introgression classification methods using simulated datasets from different evolutionary scenarios, finding that Q95-based methods are most efficient for exploratory analysis.

The paper generates and analyzes 1,288 complete mitochondrial genomes from sub-Saharan Africa to update the understanding of maternal genetic diversity and demographic history.

The paper analyzes genetic adaptation to climate change in rice landraces over time, identifying selection footprints in flowering time regulatory genes.