Faster inference of complex demographic models from large allele frequency spectra

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ID: 321014
2026
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Abstract
MOTIVATION: Demographic inference from the joint site frequency spectrum is limited by computation when many populations or many samples are analyzed. RESULTS: We present momi3, a JAX-based method for inferring complex demographic models from large allele frequency spectra. It supports continuous migration, GPU execution, automatic differentiation, standardized demographic model input, and genealogical pruning. These changes yield speedups up to. AVAILABILITY AND IMPLEMENTATION: momi3 is implemented in Python/JAX as part of demestats. Source code is available at https://github.com/jthlab/demestats; documentation is available at https://demestats.readthedocs.org. SUPPLEMENTARY INFORMATION: Supplementary data are available as a separate PDF.
Reference Key
openalex_W4393319276 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Enes Dilber, Jonathan Terhorst
Journal BMC Bioinformatics
Year 2026
DOI
10.1093/bioinformatics/btag511
URL
https://doi.org/10.1093/bioinformatics/btag511
Keywords Keywords not found

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