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Length Distribution of Ancestral Tracks under a General Admixture Model and Its Applications in Population History Inference
Xumin Ni, Xiong Yang, Wei Guo, Kai Yuan, Ying Zhou, Zhiming Ma, Shuhua Xu
doi: https://doi.org/10.1101/023390
Xumin Ni
*Department of Mathematics, School of Science, Beijing Jiaotong University, Beijing 100044, China
Xiong Yang
†Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
Wei Guo
‡Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
Kai Yuan
†Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
Ying Zhou
†Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
Zhiming Ma
‡Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
Shuhua Xu
†Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
§School of Life Science and Technology, ShanghaiTec University, Shanghai 200031, China
**Collaborative Innovation Center of Genetics and Development, Shanghai 200438, China
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Posted July 28, 2015.
Length Distribution of Ancestral Tracks under a General Admixture Model and Its Applications in Population History Inference
Xumin Ni, Xiong Yang, Wei Guo, Kai Yuan, Ying Zhou, Zhiming Ma, Shuhua Xu
bioRxiv 023390; doi: https://doi.org/10.1101/023390
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