A survey of genetic simulation software for population and epidemiological studies.

Human Genomics
Youfang LiuMichael E Weale

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.

References

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Citations

Jan 8, 2011·Human Heredity·Bo Peng, Xiaoming Liu
Jun 14, 2012·PLoS Computational Biology·Miguel Arenas
Jul 21, 2012·PloS One·Audrey E HendricksKathryn L Lunetta
Nov 6, 2014·Genetic Epidemiology·Huann-Sheng ChenEric J Feuer
Dec 8, 2011·Genetic Epidemiology·Leah E MechanicElizabeth M Gillanders
Jul 20, 2012·Journal of Bioinformatics and Computational Biology·Yixuan Chen, Jing Li
Oct 14, 2016·Molecular Ecology Resources·Christian M ParobekAllan E Strand
May 6, 2016·PLoS Computational Biology·Jerome KelleherGilean McVean
Jan 10, 2019·Journal of Computational Biology : a Journal of Computational Molecular Cell Biology·Roberto SolarMauricio Marin
Mar 28, 2019·Human Genetics·Hua ZhouKenneth Lange
Jan 11, 2012·Nature Reviews. Genetics·Sean HobanOscar E Gaggiotti

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Methods Mentioned

BETA
genotyping
chip

Software Mentioned

FREGENE
newgenecoal
COSI
SAMPLE
Nemo
msHOT
SeqGen
SARG
SIMCOAL2
GeneArtisan

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