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Table 1 Comparison of population genetic simulators

From: popRange: a highly flexible spatially and temporally explicit Wright-Fisher simulator

Feature SPLATCHE2 [16] SimAdapt [6] quantiNEMO [7] SFS_CODE [4] SLiM [5] popRange
Simulation method Coalescent Forward-Time Forward-Time Forward-Time Forward-Time Forward-Time
Data type SNPs, STRs, DNA sequences, RFLPs SNPs, STRs SNPs, STRs SNPs, DNA sequences SNPs, DNA sequences SNPs
Interface Command-line, GUI Command-line, GUI, accessed via R package RNetlogo GUI Command-line Command-line R package
Many SNPs (>100) No No Allowed, but very slow [6] Yes Yes Yes
Population structure Friction, migration rates (one rate per population) Dispersal distance (one rate per population) Migration rates, stochastic founding/extinction of populations Migration rates, speciation, domestication & admixture events Migration rates Population grid based, migration rates, stochastic founding/extinction of populations
Population dynamics Logistic growth Logistic growth Logistic growth Logistic & exp. growth, step size changes Step size changes Logistic growth, Allee effect, step size changes
Natural selection No Fixed values Many models, spatially & temporally varying Fixed values, gamma, normal & 3-point mass models Fixed values, gamma & exponential distributions Fixed values, gamma distribution, spatially & temporally varying
Linkage Yes No Yes Yes Yes No
  1. This table presents a brief comparison of population genetic simulators. For more in-depth comparisons, see [8,9,17].