A. Carvajal-Rodriguez

QInfoMating is software that analyzes mating data using information theory and model selection to estimate sexual selection and assortative mating patterns.

This paper unifies the detection of sexual selection and assortative mating for discrete and quantitative traits using information theory, showing that the same divergence measure applies to both.

1LocusSim is a mobile-friendly simulator for teaching population genetics concepts, allowing students to explore allelic frequency changes under different evolutionary factors.

This study uses individual-based simulations to explore ecological speciation conditions in Littorina saxatilis, finding that speciation depends on ecological factors, selection strength, and mate choice parameters.

The paper develops a framework for inferring non-random mating patterns using information theory and applies it to Galician Littorina saxatilis data, showing models with both mate choice and intrasexual competition better describe mating patterns.

MateSim simulates mating processes to explore how individual preferences and encounter dynamics shape population mating patterns, showing assortative mating can arise from non-assortative preferences.

The paper generalizes a model of non-random mating by allowing population frequencies to vary over mating rounds and shows improved detection power for sexual selection effects.

This paper models mate choice using mutual mating propensity and connects it to information theory, revealing new insights into sexual selection and isolation effects.

This paper introduces two methods for detecting divergent selection in population pairs, showing high power and controlled false positives through simulations and real data analysis.