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Thinking too positive? Revisiting current methods of population-genetic selection inference
In the age of next-generation sequencing, the availability of increasing amounts and quality of data at decreasing cost ought to allow for a better understanding of how natural selection is shaping the genome than ever before. Yet, alternative forces such as demography and background selection obscure the footprints of positive selection that we would like to identify. Here, we illustrate recent developments in this area, and outline a roadmap for improved selection inference. We argue (1) thatdoi:10.1101/009654 fatcat:yqmm3dwsfvdpzdjchuexuig7hy