MultiWaver series software was designed to infer population admixture history in case of various and complex scenarios. The earlier version of MultiWaver considered only the discrete admixture models. In the newly developed version MultiWaver 2.0, we implemented a more flexible framework to automatically select an optimal admixture model among discrete models and continuous models.
Four candidate admixture models now available for MultiWaver 2.0, which are general discrete admixture models, HI (Hybrid Isolation) model, CGF (Continuous Gene Flow) model and GA (Gradient Admixture) model. The software can automatically select a best-fit model and estimate the corresponding model parameters. We also applied a bootstrapping technique to provide a supporting rate of the chosen model and the confidence interval (CI) of estimations of parameters.
Function of MultiWaver 1.0 and AdmixInfer were also implemented in the new version, which can be invoked with specific parameters.
This web toolkit is a user-friendly interface based on the command-line version of MultiWaver 2.0. You may click here to download the original user manual.
You will receive a link to the page that will later display the resulting figure and allow you to download all the output data as a zip file.
Note: Due to the uncertainty of computation workload, the waiting time is not garuanteed.