Simulation of DNA sequence evolution under models of recent directional selection

Yuseob Kim, Thomas Wiehe

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


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.

Original languageEnglish
Pages (from-to)84-96
Number of pages13
JournalBriefings in Bioinformatics
Issue number1
StatePublished - 2009


  • Adaptive evolution
  • Coalescent simulation
  • Forward-in-time simulation
  • Polymorphism
  • Selective sweep
  • Wright-Fisher model


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