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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].