create realistic simulated data that matches real population genetic data. Long Description (required)
This software can be used to create realistic simulated data that matches real population genetic data. It implements a GAN-based algorithm (Generative Adversarial Network). https://github.com/mathiesonlab/pg-gan
Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator.
Every sub-attribute is selected Not all sub-attributes are selectedFill Clear Expand Collapse Reset
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: 33745225 ],
Wang Z, Wang J, Kourakos M, Hoang N, Lee HH, Mathieson I, Mathieson S ,
Automatic inference of demographic parameters using generative adversarial networks. ,
Mol Ecol Resour ,
03-20-2021 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=33745225, Primary Citation
[Pubmed ID: 36881629 ],
Small ST, Costantini C, Sagnon N, Guelbeogo MW, Emrich SJ, Kern AD, Fontaine MC, Besansky NJ ,
Standing genetic variation and chromosome differences drove rapid ecotype formation in a major malaria mosquito. ,
Proc Natl Acad Sci U S A ,
03-14-2023 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=36881629, , Application
[Pubmed ID: 36945387 ],
Riley R, Mathieson I, Mathieson S ,
Interpreting Generative Adversarial Networks to Infer Natural Selection from Genetic Data. ,
bioRxiv ,
07-09-2023 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=36945387, , Application