Data from: On the (un)predictability of a large intragenic fitness landscape

Claudia Bank, Sebastian Matuszewski, Ryan T. Hietpas & Jeffrey D. Jensen
The study of fitness landscapes, which aims at mapping genotypes to fitness, is receiving ever-increasing attention. Novel experimental approaches combined with next-generation sequencing (NGS) methods enable accurate and extensive studies of the fitness effects of mutations, allowing us to test theoretical predictions and improve our understanding of the shape of the true underlying fitness landscape and its implications for the predictability and repeatability of evolution. Here, we present a uniquely large multiallelic fitness landscape comprising...
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