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Population genetics card game simulator
Population genetics card game simulator












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.

#Population genetics card game simulator simulator#

Analysis of the simulated data by AdmixSim showed that our simulator can quickly and accurately generate data resembling real-world values. 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. Results: We developed a forward-time simulator ( AdmixSim) under the standard Wright Fisher model. 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 are aware of the lack of a computerized tool for such a purpose. Inference of population admixture, however, is very challenging and typically relies on in silico simulation. 7Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai, Chinaīackground: 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.6Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China.5Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.4School of Life Science and Technology, ShanghaiTech University, Shanghai, China.3Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China.

population genetics card game simulator

2Department of Mathematics, School of Science, Beijing Jiaotong University, Beijing, China.1Key Laboratory of Computational Biology, Chinese Academy of Sciences (CAS) and Max Planck Society (MPG) Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.Xiong Yang 1, Kai Yuan 1, Xumin Ni 2, Ying Zhou 1, Wei Guo 3 and Shuhua Xu 1,4,5,6,7 *












Population genetics card game simulator