Simulates interactions among two genetic and one environmental factor and also allows for epistatic interactions. Long Description (required)
The Gene-Environment iNteraction Simulator 2 (GENS2) simulates interactions among two genetic and one environmental factor and also allows for epistatic interactions. GENS2 is based on data with realistic patterns of linkage disequilibrium, and imposes no limitations either on the number of individuals to be simulated or on number of non-predisposing genetic/environmental factors to be considered. The GENS2 tool is able to simulate gene-environment and gene-gene interactions. To make the Simulator more intuitive, the input parameters are expressed as standard epidemiological quantities. GENS2 is written in Python language and takes advantage of operators and modules provided by the simuPOP simulation environment.
GENS2 is not intended to simulate the evolution of a population, but to simulate complex gene-environment interactions in case-control sample. It shuold be used along with simuPOP, a software that allows realistic evolutionary simulation (or an equivalent simulator), to simulate dataset on which apply disease model .
https://sourceforge.net/projects/gensim/
Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator.
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Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s).
Can't Find the Attribute You Are Looking For? If you would like to propose an attribute that you cannot find in the tree above, or if you would like to add a clarification to one or more attributes for this simulator (e.g. a specific file format for attribute /Output/File Format/Other), please list them in the Additional Comment box of the Submit tab .
Summary of Proposed Changes Current Citations/Applications
[Pubmed ID: 22698142 ],
Pinelli M, Scala G, Amato R, Cocozza S, Miele G ,
Simulating gene-gene and gene-environment interactions in complex diseases: Gene-Environment iNteraction Simulator 2. ,
BMC Bioinformatics ,
06-14-2012 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=22698142, Primary Citation