InfoMating: Non-random mating and Information Theory

Citation

If you use Infomating please cite:

Carvajal-Rodríguez, A. 2019. Multi-model inference of non-random mating from an information theoretic approach.

bioRxiv https://doi.org/10.1101/305730.

This preprint has been**recommended** by PCI EvolBiol.

Carvajal-Rodríguez, A. 2019. Multi-model inference of non-random mating from an information theoretic approach.

bioRxiv https://doi.org/10.1101/305730.

This preprint has been

References

- Carvajal-Rodríguez, A., 2018. Non-random mating and information theory. Theoretical Population Biology 120, 103-113.

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Introduction

The study of The causes of both type of effects can be a different preference between different mating types, i.e.

We can consider jointly both concepts by means of the so called mutual mating propensity parameters m

Relying on the informational partition of the non-random mating effects, and by modeling mate choice and competition by the mutual propensity parameters, it is possible to identify the necessary and sufficient conditions of random mating and from here, develop and connect different kinds of models producing different effects. These models can be used to generate inferences on the parameters of interest. The software InfoMating implements the methodology to do so.

A. Carvajal-Rodriguez - Departamento de Bioquímica Genética e Inmunología - Universidad de Vigo.
( * Last update: February 2019)*