ArticleBioinformatics (Oxford, England)2026
Faster inference of complex demographic models from large allele frequency spectra.
Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Computing coalescence rates for complex demographies and sampling configurations.bioRxiv : the preprint server for biology · 2026Article
- Conditional frequency spectra as a tool for studying selection on complex traits in biobanks.bioRxiv : the preprint server for biology · 2024Article
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4 authors.
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Abstract
motivationDemographic inference from the joint site frequency spectrum is limited by computation when many populations or many samples are analyzed.
resultsWe 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 1000× over existing methods and enable analysis of archaic admixture models using hundreds of human genomes. 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.
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