GSR: Simulator - forqs

Basic Package Attributes
Title forqs
Short Description Forward-in-time simulation of Recombination, Quantitative Traits, and Selection
Long Description forqs is a forward-in-time population genetics simulation that tracks individual haplotype chunks as they recombine each generation. forqs also also models quantitative traits and selection on those traits. forqs is implemented as a command-line C++ program, using a modular design that gives the user great flexibility in creating custom simulations. It is freely available with a permissive BSD license.
Version by date
Project Started 2013
Last Release 7 years, 5 months ago
Citations Kessner D, Novembre J, forqs: forward-in-time simulation of recombination, quantitative traits and selection., Bioinformatics, 02-15-2014 [ Abstract, cited in PMC ]
GSR Certification


Last evaluated09-08-2017 (1455 days ago)
Detailed Attributes
Attribute CategoryAttribute
Type of Simulated DataDiploid DNA Sequence, Haploid DNA Sequence,
VariationsBiallelic Marker, Multiallelic Marker, Single Nucleotide Variation,
Simulation MethodForward-time,
Data Type
File formatProgram Specific,
Data TypeGenotype or Sequence, Phenotypic Trait, Mutation, Linkage Disequilibrium, Fitness,
Sequencing Reads
File FormatProgram Specific,
Sample Type
Trait TypeBinary or Qualitative, Quantitative, Multiple,
DeterminantsSingle Genetic Marker, Multiple Genetic Markers, Sex-linked, Environmental Factors,
Evolutionary Features
Population Size ChangesConstant Size, Exponential Growth or Decline, Logistic Growth, Bottleneck, User Defined,
Gene FlowStepping Stone Models, Island Models, Continent-Island Models, Admixed Population, Other,
Life CycleDiscrete Generation Model,
Mating SystemRandom Mating, Other,
FecundityRandomly Distributed,
Natural Selection
DeterminantSingle-locus, Multi-locus, Fitness of Offspring, Phenotypic Trait, Environmental Factors,
ModelsDirectional Selection, Balancing Selection, Multi-locus models, Epistasis, Phenotype Threshold,
RecombinationUniform, Varying Recombination Rates,
Mutation ModelsTwo-allele Mutation Model, k-Allele Model,
Events AllowedPopulation Merge and Split, Varying Demographic Features, Population Events,
OtherPolygenic background,
Tested PlatformsWindows, Mac OS X, Linux and Unix,
LanguageC or C++,
GSR CertificationAccessibility, Documentation,

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