title: A survey of genetic simulation software for population and epidemiological studies.
abstract: A number of programs have been developed for simulating population genetic and genetic epidemiological data conforming to one of three main algorithmic approaches: 'forwards', 'backwards' and 'sideways'. This review aims to make the reader aware of the range of options currently available to them. While no one program emerges as the best choice in all circumstances, we nominate a set of those which currently appear most promising.
authors.affiliation: Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27695-7566, USA.
authors.forename: Youfang
authors.initials: Y
authors.lastname: Liu
authors.forename: Georgios
authors.initials: G
authors.lastname: Athanasiadis
authors.forename: Michael E
authors.initials: ME
authors.lastname: Weale
mesh_terms: D003198:Computer Simulation; D003625:Data Collection; D016021:Epidemiologic Studies; D005828:Genetics, Population; D006801:Humans; D012984:Software