@article {14591,
	title = {A Tutorial of the Poisson Random Field Model in Population Genetics},
	journal = {Advances in Bioinformatics},
	volume = {2008},
	year = {2008},
	month = {2008///},
	pages = {1 - 9},
	abstract = {Population genetics is the study of allele frequency changes driven by various evolutionary forces such as mutation, natural selection, and random genetic drift.  Although natural selection is widely recognized as a bona-fide phenomenon, the extent to which it drives evolution continues to remain unclear and controversial.  Various qualitative techniques, or so-called {\textquotedblleft}tests of neutrality{\textquotedblright}, have been introduced to detect signatures of natural selection. A decade and a half ago, Stanley Sawyer and Daniel Hartl provided a mathematical framework, referred to as the Poisson random field (PRF), with which to determine quantitatively the intensity of selection on a particular gene or genomic region.  The recent availability of large-scale genetic polymorphism data has sparked widespread interest in genome-wide investigations of natural selection.  To that end, the original PRF model is of particular interest for geneticists and evolutionary genomicists.  In this article, we will provide a tutorial of the mathematical derivation of the original Sawyer and Hartl PRF model.},
	isbn = {1687-8027, 1687-8035},
	doi = {10.1155/2008/257864},
	url = {http://www.hindawi.com/journals/abi/2008/257864/},
	author = {Sethupathy,Praveen and Hannenhalli, Sridhar}
}
