bz-rates: A Web Tool to Estimate Mutation Rates from Fluctuation Analysis
Author(s) -
Alexandre Gillet-Markowska,
G. Louvel,
Gilles Fischer
Publication year - 2015
Publication title -
g3 genes genomes genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.468
H-Index - 66
ISSN - 2160-1836
DOI - 10.1534/g3.115.019836
Subject(s) - mutation , mutation rate , mutant , visualization , mutation testing , web site , differential (mechanical device) , goodness of fit , computer science , distribution (mathematics) , function (biology) , estimation theory , growth rate , biology , estimation , algorithm , statistics , biological system , data mining , mathematics , genetics , physics , the internet , mathematical analysis , geometry , engineering , operating system , thermodynamics , systems engineering , gene
Fluctuation analysis is the standard experimental method for measuring mutation rates in micro-organisms. The appearance of mutants is classically described by a Luria-Delbrück distribution composed of two parameters: the number of mutations per culture (m) and the differential growth rate between mutant and wild-type cells (b). A precise estimation of these two parameters is a prerequisite to the calculation of the mutation rate. Here, we developed bz-rates, a Web tool to calculate mutation rates that provides three useful advances over existing Web tools. First, it allows taking into account b, the differential growth rate between mutant and wild-type cells, in the estimation of m with the generating function. Second, bz-rates allows the user to take into account a deviation from the Luria-Delbrück distribution called z, the plating efficiency, in the estimation of m. Finally, the Web site provides a graphical visualization of the goodness-of-fit between the experimental data and the model. bz-rates is accessible at http://www.lcqb.upmc.fr/bzrates.
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