GSR: Simulator - SimBA
Attribute | Value |
---|---|
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 |
Homepage | https://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 |
Last evaluated | March 8, 2022 (1262 days ago) |
Author verification | The 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. |
Attribute Category | Attribute |
---|---|
Target | |
Type of Simulated Data | Genotype at Genetic Markers, |
Variations | |
Simulation Method | Other, |
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 | |
Interface | Command-line, |
Development | |
Tested Platforms | |
Language | C or C++, Other, |
License | Other, |
GSR Certification | Accessibility, |
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.