SPAms: A user-friendly software to simulate population genetics data under complex demographic models.

Area of Science:

• Population Genetics
• Computational Biology
• Bioinformatics

Background:

• Genetic diversity patterns offer insights into population demographic history.
• Accurate statistical analysis requires understanding data properties under diverse scenarios.
• Simulation tools are essential for exploring complex population genetic models.

Purpose of the Study:

• To introduce SPAms, a graphical application for simulating genetic data.
• To provide a tool for generating data under various demographic models.
• To facilitate the study of population genetics for research and education.

Main Methods:

• SPAms simulates genetic data using the infinite site and stepwise mutation models.
• The application incorporates demographic models including population size change, admixture, and population structure (n-island, stepping stone).
• SPAms computes a range of commonly used population genetic statistics.

Main Results:

• SPAms enables the simulation of genetic data under complex demographic scenarios.
• The software supports both infinite site and stepwise mutation models.
• Generated data can be analyzed using standard population genetic statistics.

Conclusions:

• SPAms is a valuable tool for simulating population genetic data.
• The application aids in understanding the statistical properties of genetic data under different demographic histories.
• SPAms serves as a useful resource for both scientific research and pedagogical purposes.