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摘要: The field of population genetics attempts to understand the influence of natural selection, genetic drift, recombination, and population structure on genetic variation. There exist many models and inference tools that can be used to try to explain the variation observed in DNA sequence data. Here we have explored different models with additional elements of reality compared to the well known models that are currently used today. This is important because apart from understanding how relaxing standard assumptions affects polymorphism, we create tools to make better inferences based on DNA sequence data. In the first chapter of this thesis we try to get a deeper understanding as to why systems evolve to be robust. To do this we use the model of Wagner[1996 a] and Siegal and Bergman[2002] which describes the evolution of a network of N genes. We investigate this model in more detail, considering systems of …