Titel
sstar: A Python Package for Detecting Archaic Introgression from Population Genetic Data with <i>S</i>*
Autor*in
Patricia Kruisz
Department of Bio Data Science, Faculty of Engineering, University of Applied Sciences Wiener Neustadt
Abstract
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.
Stichwort
introgressionarchaic admixtureS*Python
Objekt-Typ
Sprache
Englisch [eng]
Persistent identifier
Erschienen in
Titel
Molecular Biology and Evolution
Band
39
Ausgabe
11
ISSN
0737-4038
Erscheinungsdatum
2022
Publication
Oxford University Press (OUP)
Erscheinungsdatum
2022
Zugänglichkeit
Rechte
Rechteangabe
© The Author(s) 2022
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