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• W2005682324 abstract "A combinatorially complete data set consists of studies of all possible combinations of a set of mutant sites in a gene or mutant alleles in a genome. Among the most robust conclusions from these studies is that epistasis between beneficial mutations often shows a pattern of diminishing returns, in which favorable mutations are less fit when combined than would be expected. Another robust inference is that the number of adaptive evolutionary paths is often limited to a relatively small fraction of the theoretical possibilities, owing largely to sign epistasis requiring evolutionary steps that would entail a decrease in fitness. Here we summarize these and other results while also examining issues that remain unresolved and future directions that seem promising." @default.
• W2005682324 created "2016-06-24" @default.
• W2005682324 creator A5061240448 @default.
• W2005682324 date "2014-10-01" @default.
• W2005682324 modified "2023-10-09" @default.
• W2005682324 title "What can we learn from fitness landscapes?" @default.
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• W2005682324 doi "https://doi.org/10.1016/j.mib.2014.08.001" @default.
• W2005682324 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4254422" @default.
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