HypercubeME: two hundred million combinatorially complete datasets from a single experiment.

ABSTRACT: Epistasis, the context-dependence of the contribution of an amino acid substitution to fitness, is common in evolution. To detect epistasis, fitness must be measured for at least four genotypes: the reference genotype, two different single mutants and a double mutant with both of the single mutations. For higher-order epistasis of the order n, fitness has to be measured for all 2n genotypes of an n-dimensional hypercube in genotype space forming a "combinatorially complete dataset". So far, only a handful of such datasets have been produced by manual curation. Concurrently, random mutagenesis experiments have produced measurements of fitness and other phenotypes in a high-throughput manner, potentially containing a number of combinatorially complete datasets. We present an effective recurs

SUBMITTER: Esteban LA 

PROVIDER: S-EPMC7703787 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature