GSR: Simulator - SimBit

Basic Package Attributes
AttributeValue
Title SimBit
Short Description Simbit is an all-purpose, high-performance forward-in-time population genetics simulator.
Long Description Simbit is an all-purpose, high-performance forward-in-time population genetics simulator. The software is capable of simulating selection scenarios, demographic scenarios, and mating systems. Simbit can also simulate multiple species along with their ecological relationships. The package comes with an R wrapper that simplifies the management of research projects from the creation of a grid of parameters, and can run simulations and gather inputs for analysis.
Version 3.9.13
Project Started 2018
Last Release 5 years, 6 months ago
Homepagehttps://github.com/RemiMattheyDoret/SimBit
Citations Matthey-Doret R, SimBit: A high performance, flexible and easy-to-use population genetic simulator., Mol Ecol Resour, July 1, 2021 [ Abstract, cited in PMC ]
GSR Certification

Accessibility
Documentation
Application
Support

Last evaluatedMay 17, 2022 (1192 days ago)
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, Diploid DNA Sequence, Sequencing Reads,
VariationsBiallelic Marker, Microsatellite,
Simulation MethodForward-time,
Input
Data Type
File format
Output
Data Type
Sequencing Reads
File Format
Sample Type
Phenotype
Trait Type
Determinants
Evolutionary Features
Demographic
Population Size ChangesConstant Size, Exponential Growth or Decline, Logistic Growth, Bottleneck, Carrying Capacity, User Defined,
Gene FlowStepping Stone Models, Island Models, Continent-Island Models, Sex or Age-Specific Migration Rates, Influenced by Environmental Factors, Admixed Population, User-defined Matrix, Other,
SpatialityDiscrete Models, Continuous Models, Landscape Factors,
Life Cycle
Mating SystemRandom Mating,
Fecundity
Natural Selection
DeterminantSingle-locus, Multi-locus,
Models
RecombinationUniform,
Mutation Models
Events Allowed
Other
InterfaceCommand-line,
Development
Tested Platforms
LanguageC or C++,
LicenseOther,
GSR CertificationAccessibility, Documentation, Support,

Number of Primary Citations: 1

Number of Non-Primary Citations: 0

No example publication using SimBit has been provided.

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