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- W1975177536 abstract "Abstract Because of the high variance of the Luria-Delbruck distribution, the experimental calculation of mean and variance are of little value for estimating mutation rates from fluctuation test experiments. Lea and Coulson and Armitage, some thirty years ago, provided methods to estimate m , the mean number of mutation events per culture, dependent on experimental estimares of the median and upper quartile of the distribution. These methods are cumbersome to use and are only approximate for moderate values of m . I have written computer programs that calculate the distribution based on the formulation of Lea and Coulson. In addition to the first 4 moments of the distribution, the lower quartile (Q 1 ), the median (Q 2 ), and the upper quartile (Q 3 ) have been calculated for the useful range of m . Figures and formulae are presented to allow m to be conveniently, quickly, and accurately calculated from the 3 experimentally observed quartiles from fluctuation test experiments. Moreover, an easy-to-use, but computer time-consuming, version of the program has been developed that searches for the solution of maximum likelihood and yields the best fit to the Luria-Delbruck distribution. The primary purpose of this analysis has been to permit the calculation of mutation rate when the mutant cells grow slower than the parental type and when there of a phenotypic lag. These computational tools and extensions to more realistic cases should make the fluctuation test of more practical use for the estimation of mutation rates of microbes and eukaryotic tissue cells." @default.
- W1975177536 created "2016-06-24" @default.
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- W1975177536 date "1982-08-01" @default.
- W1975177536 modified "2023-09-30" @default.
- W1975177536 title "Mutation and growth rates from Luria-Delbrück fluctuation tests" @default.
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- W1975177536 doi "https://doi.org/10.1016/0027-5107(82)90252-4" @default.
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