Login / Signup

sstar: A Python Package for Detecting Archaic Introgression from Population Genetic Data with S.

Xin HuangPatricia KruiszMartin Kuhlwilm
Published in: Molecular biology and evolution (2022)
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.
Keyphrases
  • endothelial cells
  • genome wide
  • big data
  • climate change
  • copy number
  • machine learning
  • gene expression
  • induced pluripotent stem cells