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The Site Frequency Spectrum for General Coalescents
Jeffrey P Spence1, John A Kamm2, Yun S Song3
1Computational Biology Graduate Group, University of California, Berkeley, California 94720.
This study introduces an efficient algorithm for inferring population genetics models using the site frequency spectrum (SFS). The new method significantly speeds up calculations for general coalescent processes, including marine species and selection studies.
Area of Science:
- Population genetics
- Theoretical biology
- Computational genomics
Background:
- General genealogical processes like Λ- and Ξ-coalescents are crucial for modeling complex evolutionary scenarios.
- These models have wide applications, including studying marine species, strong positive selection, recurrent selective sweeps, and population bottlenecks.
- Recent advancements focus on developing efficient inference tools, particularly those utilizing the site frequency spectrum (SFS).
Purpose of the Study:
- To derive a novel formula for the expected SFS under general Λ- and Ξ-coalescents.
- To develop an efficient computational algorithm based on this new formula.
- To extend inference capabilities to time-inhomogeneous coalescent models.
Main Methods:
- Derivation of a new formula for the expected site frequency spectrum (SFS) for general Λ- and Ξ-coalescents.
- Development of an efficient algorithm for computing the expected SFS.
- Generalization of the method to time-inhomogeneous coalescents with factorizable measures.
Main Results:
- The proposed algorithm achieves O(n^2) runtime for time-homogeneous coalescents, offering a significant speedup over existing methods.
- The method is successfully generalized to time-inhomogeneous Λ- and Ξ-coalescents.
- Theoretical results on the identifiability of Λ and ζ measures are established.
Conclusions:
- The derived formula and algorithm provide a more efficient approach for SFS-based inference in population genetics.
- The generalization to time-inhomogeneous models expands the applicability of these coalescent processes.
- The work contributes to the theoretical understanding of model identifiability in coalescent theory.
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