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Background:  Population admixture is a common phenomenon in humans, animals, and plants, and it plays a very important role in shaping individual genetic architecture and population genetic diversity. Inference of population admixture, however, is very challenging and typically relies on  in silico  simulation. We are aware of the lack of a computerized tool for such a purpose. A simulator capable of generating data under various complex admixture scenarios would facilitate the study of recombination, linkage disequilibrium, ancestry tracing, and admixture dynamics in admixed populations. We described such a simulator here.   Results:  We developed a forward-time simulator ( AdmixSim ) under the standard Wright Fisher model. It can simulate the following admixed populations: (1) multiple ancestral populations; (2) multiple waves of admixture events; (3) fluctuating population size; and (4) admixtures of fluctuating proportions. Analysis of the simulated data by  AdmixSim  showed that our simulator can quickly and accurately generate data resembling real-world values. We included in  AdmixSim  all possible parameters that would allow users to modify and simulate any kind of admixture scenario easily, so it is very flexible.  AdmixSim  records recombination break points and traces of each chromosomal segment from different ancestral populations, with which users can easily perform further analysis and comparative studies with empirical data.   Conclusions:   AdmixSim  facilitates the study of population admixture by providing a simulation framework with the flexible implementation of various admixture models and parameters.

AdmixSim: A Forward-Time Simulator for Various Complex Scenarios of Population Admixture