ArticleMolecular biology and evolution2021
dadi.CUDA: Accelerating Population Genetics Inference with Graphics Processing Units.
Article in Molecular biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed.
- Faster inference of complex demographic models from large allele frequency spectra.Bioinformatics (Oxford, England) · 2026Article
- CoalMiner: a coalescent model generator forbioRxiv : the preprint server for biology · 2026Article
- Inference of complex demographic history using composite likelihood based on whole-genome genealogies.bioRxiv : the preprint server for biology · 2025Article
- Computationally Efficient Demographic History Inference from Allele Frequencies with Supervised Machine Learning.Molecular biology and evolution · 2024Article
- Integrating cryptic diversity into coral evolution, symbiosis and conservation.Nature ecology & evolution · 2024Review
- Computationally efficient demographic history inference from allele frequencies with supervised machine learning.bioRxiv : the preprint server for biology · 2024Article
- Forty Years of Inferential Methods in the Journals of the Society for Molecular Biology and Evolution.Molecular biology and evolution · 2024Article
- Demographic history inference and the polyploid continuum.Genetics · 2023Article
- Bayesian optimization for demographic inference.G3 (Bethesda, Md.) · 2023Article
- dadi-cli: Automated and distributed population genetic model inference from allele frequency spectra.bioRxiv : the preprint server for biology · 2023Article
- Ten years of demographic modelling of divergence and speciation in the sea.Evolutionary applications · 2023Article
- Review
- Genome Analysis Traces Regional Dispersal of Rice in Taiwan and Southeast Asia.Molecular biology and evolution · 2021Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
dadi is a popular but computationally intensive program for inferring models of demographic history and natural selection from population genetic data. I show that running dadi on a Graphics Processing Unit can dramatically speed computation compared with the CPU implementation, with minimal user burden. Motivated by this speed increase, I also extended dadi to four- and five-population models. This functionality is available in dadi version 2.1.0, https://bitbucket.org/gutenkunstlab/dadi/.
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Registered trials
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