GSR: Simulator - GS
Attribute | Value |
---|---|
Title | GS |
Short Description | Generating samples for association studies based on HapMap data |
Long Description | A new version of gs is available. In addition to the functionalities implemented earlier, gs2.0 has implemented a comprehensive yet flexible model to simulate genetic and environmental interactions. The program can be used to generate samples in testing algorithms for tag SNP selection, haplotype inference, as well as epistatic detection. |
Version | 2.0 |
Last Release | 16 years, 3 months ago |
Homepage | http://engr.case.edu/li_jing/gs.html |
Citations | Li J, Chen Y, Generating samples for association studies based on HapMap data., BMC Bioinformatics, 01-24-2008 [ Abstract, cited in PMC ] |
GSR Certification | This package has been evaluated. No certificates were awarded at this time. |
Last evaluated | 05-15-2023 (334 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 | Biallelic Marker, Single Nucleotide Variation, |
Simulation Method | Resample Existing Data, |
Input | |
Data Type | |
File format | |
Output | |
Data Type | Genotype or Sequence, |
Sequencing Reads | |
File Format | |
Sample Type | |
Phenotype | |
Trait Type | Quantitative, |
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 | Windows, Mac OS X, Linux and Unix, |
Language | C or C++, |
License | |
GSR Certification |
Number of Primary Citations: 1
Number of Non-Primary Citations: 1
The following 1 publications are selected examples of applications that used GS.
2021
Guo Y, Wu C, Yuan Z, Wang Y, Liang Z, Wang Y, Zhang Y, Xu L, Gene-Based Testing of Interactions Using XGBoost in Genome-Wide Association Studies., Front Cell Dev Biol, 12-16-2021 [Abstract]