@article{beaumont_bayesian_2004,
	title = {The {Bayesian} revolution in genetics},
	volume = {5},
	copyright = {2004 Nature Publishing Group},
	issn = {1471-0064},
	url = {https://www.nature.com/articles/nrg1318},
	doi = {10.1038/nrg1318},
	abstract = {Bayesian statistics allow scientists to easily incorporate prior knowledge into their data analysis. Nonetheless, the sheer amount of computational power that is required for Bayesian statistical analyses has previously limited their use in genetics. These computational constraints have now largely been overcome and the underlying advantages of Bayesian approaches are putting them at the forefront of genetic data analysis in an increasing number of areas.},
	language = {en},
	number = {4},
	urldate = {2019-09-30},
	journal = {Nature Reviews Genetics},
	author = {Beaumont, Mark A. and Rannala, Bruce},
	month = apr,
	year = {2004},
	pages = {251--261},
}

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