GSR: Simulator - SimBA

Basic Package Attributes
AttributeValue
Title SimBA
Short Description SimBA is a non-generative approach to population simulations based on a combination of stochastic techniques and discrete methods.
Long Description SimBA is a non-generative approach to population simulations, based on a combination of stochastic techniques and discrete methods. The package contains a hill climbing algorithm and multiple subpopulation structures. SimBA is very sensitive to the input specifications, i.e., very similar but distinct input characteristics result in distinct outputs with high fidelity to the specified distributions. This property of the simulation is not explicitly modeled or studied by previous methods.
Version v1.0.0
Project Started 2017
Last Release 8 years, 6 months ago
Homepagehttps://github.com/ComputationalGenomics/SimBA
Citations Parida L, Haiminen N, SimBA: simulation algorithm to fit extant-population distributions., BMC Bioinformatics, March 14, 2015 [ Abstract, cited in PMC ]
GSR Certification

Accessibility
Documentation
Application
Support

Last evaluatedMarch 8, 2022 (1262 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,
Variations
Simulation MethodOther,
Input
Data Type
File format
Output
Data Type
Sequencing Reads
File Format
Sample Type
Phenotype
Trait Type
Determinants
Evolutionary Features
Demographic
Population Size Changes
Gene Flow
Spatiality
Life Cycle
Mating System
Fecundity
Natural Selection
Determinant
Models
Recombination
Mutation Models
Events Allowed
Other
InterfaceCommand-line,
Development
Tested Platforms
LanguageC or C++, Other,
LicenseOther,
GSR CertificationAccessibility,

Number of Primary Citations: 1

Number of Non-Primary Citations: 0

No example publication using SimBA has been provided.

Please propose new citations if you are aware of publications that use this software.


Propose changes to this simulator