GSR: Simulator - kernalPop

Basic Package Attributes
AttributeValue
Title kernalPop
Short Description A spatially explicit population genetic simulation engine
Long Description Individual-based, spatially explicit models provide a mechanism to understand distributions of individuals on the landscape; however, few models have been coupled with population genetics. The primary benefits of such a combination is to assess performance of populationgenetic estimators in realistic situations. KERNELPOP represents a flexible framework to implement almost any arbitrary population-genetic and demographic model in a spatially explicit context using a variety of dispersal kernels. Estimates of type I error associated with genome scans in metapopulations are provided as an illustration of this software’s utility
Project Started 2007
Last Release 10 years, 8 months ago
Homepagehttp://cran.r-project.org/src/contrib/Archive/kernelPop/
Citations Strand AE, Niehaus JM, kernelpop, a spatially explicit population genetic simulation engine, Molecular Ecology Notes, 06-02-2007 [ Abstract ]
GSR Certification This simulator has not yet been evaluated for GSR Certification. Learn more about or request GSR Certification.
Author verificationThe basic description provided was derived from a website or publications by the GSR team and has not yet been verified by the simulation author. To modify this entry or add more information, propose changes to this simulator.
Detailed Attributes
Attribute CategoryAttribute
Target
Type of Simulated DataGenotype at Genetic Markers,
VariationsBiallelic Marker,
Simulation MethodForward-time,
Input
Data Type
File formatArlequin, Genepop, MIGRATE,
Output
Data TypeGenotype or Sequence, Demographic,
Sequencing Reads
File FormatArlequin, Genepop,
Sample Type
Phenotype
Trait Type
Determinants
Evolutionary Features
Demographic
Population Size ChangesCarrying Capacity,
Gene Flow
Spatiality
Life CycleUser-Defined transition matrices,
Mating SystemRandom Mating, Age- or Stage-Specific,
FecundityInfluenced by Environment,
Natural Selection
Determinant
Models
Recombination
Mutation ModelsStepwise Mutation Model, Heterogeneity among Sites,
Events AllowedVarying Demographic Features, Change of Mating Systems,
Other
InterfaceCommand-line, Script-based,
Development
Tested PlatformsWindows, Mac OS X, Linux and Unix,
LanguageR,
LicenseGNU Public License,
GSR Certification

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