Generate complex SNP models and heterogeneous datasets

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Genetic Architecture Model Emulator for Testing and Evaluating Software (GAMETES) is an algorithm for the generation of complex single nucleotide polymorphism (SNP) models for simulated association studies. GAMETES is designed to generate epistatic models which we refer to as pure and strict, that constitute the worst-case in terms of detecting disease associations, since such associations may only be observed if all n-loci are included in the disease model. User friendly GAMETES software rapidly and precisely generates epistatic multi-locus models, and can generate simulated datasets based on these models. Version 2.0, adds the ability to generate heterogeneous datasets by applying multiple independent models to different subsets of the simulated data. Additionally we have added a custom model generation feature, so that users may directly specify and examine the properties of any 2 or 3 locus SNP model. Simple Mendelian models may also be generated with this feature.

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Additional Project Details

Intended Audience

Education, Science/Research

User Interface

Java Swing

Programming Language



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