title: Simulation of DNA sequence evolution under models of recent directional selection.
abstract: Computer simulation is an essential tool in the analysis of DNA sequence variation for mapping events of recent adaptive evolution in the genome. Various simulation methods are employed to predict the signature of selection in sequence variation. The most informative and efficient method currently in use is coalescent simulation. However, this method is limited to simple models of directional selection. Whole-population forward-in-time simulations are the alternative to coalescent simulations for more complex models. The notorious problem of excessive computational cost in forward-in-time simulations can be overcome by various simplifying amendments. Overall, the success of simulations depends on the creative application of some population genetic theory to the simulation algorithm.
authors.affiliation: Universität zu Köln, Institut für Genetik, Zülpicher Strasse 47, 50674 Köln, Germany.
authors.forename: Yuseob
authors.initials: Y
authors.lastname: Kim
authors.forename: Thomas
authors.initials: T
authors.lastname: Wiehe
mesh_terms: D000465:Algorithms; D000818:Animals; D001483:Base Sequence / Q000235:genetics*; D003198:Computer Simulation; D019143:Evolution, Molecular; D014644:Genetic Variation; D008957:Models, Genetic; D012641:Selection, Genetic; D012984:Software