GSR: Simulator - forqs

Basic Package Attributes
AttributeValue
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 10 years, 1 month ago
Homepagehttps://bitbucket.org/dkessner/forqs
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

Accessibility
Documentation
Application
Support

Last evaluated09-08-2017 (2409 days ago)
Detailed Attributes
Attribute CategoryAttribute
Target
Type of Simulated DataDiploid DNA Sequence, Haploid DNA Sequence,
VariationsBiallelic Marker, Multiallelic Marker, Single Nucleotide Variation,
Simulation MethodForward-time,
Input
Data Type
File formatProgram Specific,
Output
Data TypeGenotype or Sequence, Phenotypic Trait, Mutation, Linkage Disequilibrium, Fitness,
Sequencing Reads
File FormatProgram Specific,
Sample Type
Phenotype
Trait TypeBinary or Qualitative, Quantitative, Multiple,
DeterminantsSingle Genetic Marker, Multiple Genetic Markers, Sex-linked, Environmental Factors,
Evolutionary Features
Demographic
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,
Spatiality
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,
InterfaceCommand-line,
Development
Tested PlatformsWindows, Mac OS X, Linux and Unix,
LanguageC or C++,
LicenseBSD,
GSR CertificationAccessibility, Documentation, Application,

Number of Primary Citations: 1

Number of Non-Primary Citations: 2

The following 2 publications are selected examples of applications that used forqs.

2023

Drury AL, Gout JF, Dapper AL, Modeling Recombination Rate as a Quantitative Trait Reveals New Insight into Selection in Humans., Genome Biol Evol, 08-01-2023 [Abstract]

2021

Frayer ME, Payseur BA, Demographic history shapes genomic ancestry in hybrid zones., Ecol Evol, 07-05-2021 [Abstract]


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