sstar: A Python']Python Package for Detecting Archaic Introgression from Population Genetic Data with S*

被引：3
|
作者：
Huang, Xin [1 ,2 ]
Kruisz, Patricia [3 ]
Kuhlwilm, Martin [1 ,2 ]
机构：
[1] Univ Vienna, Dept Evolutionary Anthropol, Djerassiplatz 1, A-1030 Vienna, Austria
[2] Univ Vienna, Human Evolut & Archaeol Sci HEAS, Djerassiplatz 1, A-1030 Vienna, Austria
[3] Univ Appl Sci Wiener Neustadt, Fac Engn, Dept Bio Data Sci, Biotech Campus Tulln,Konrad Lorenz Str 10, A-3430 Tulln, Austria
来源：
MOLECULAR BIOLOGY AND EVOLUTION | 2022年 / 39卷 / 11期
关键词：
introgression; archaic admixture; S*; !text type='Python']Python[!/text; NEANDERTHAL;
D O I：
10.1093/molbev/msac212
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
S* is a widely used statistic for detecting archaic admixture from population genetic data. Previous studies used freezing-archer to apply S*, which is only directly applicable to the specific case of Neanderthal and Denisovan introgression in Papuans. Here, we implemented sstar for a more general purpose. Compared with several tools, including SPrime, SkovHMM, and ArchaicSeeker2.0, for detecting introgressed fragments with simulations, our results suggest that sstar is robust to differences in demographic models, including ghost introgression and two-source introgression. We believe sstar will be a useful tool for detecting introgressed fragments in various scenarios and in non-human species.
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页数：4
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