METHODSMETHODS IN IN MOLECULAR BIOLOGYTMTM Volume 262 ic bination ReviewsReviews andand ProtocolsProtocols Edited by Alan S. Waldman Mitotic bination Rate Determination 3 1 Determination of Mitotic bination Rates by Fluctuation Analysis in haromyces cerevisiae Rachelle Miller Spell and Sue Jinks-Robertson Summary The study of bination in haromyces cerevisiae benefits from the availability of assay systems that select for binants, allowing the study of spontaneous events that rep- resent natural assaults on the genome. However, the rarity of such spontaneous bination requires selection of events that occur over many generations in a cell culture, and the number of binants increases exponentially following a bination event. To avoid inflation of the average number of binants by jackpots arising from an event early in a culture, the distribution of the number of binants in independent cultures (fluctuation analysis) must be used to estimate the mean number of bination events. Here we describe two statistical analyses (method of the median and the method of p0) to estimate the true mean of the number of events to be used to calculate the bination rate. The use of confidence intervals to depict the error in such experiments is also discussed. The application of these methods is illustrated using the intron-based inverted repeat bination reporter system developed in our lab to study the regulation of homeologous bination. Key Words: fluctuation analysis, method of the median, confidence intervals, spontaneous bination, mutation rate, inverted repeats, intron-based bination assay, homeologous bination 1. Introduction The study of DNA damage and subsequent repair by bination utilizes systems that examine both spontaneous and induced damage. Although studies of induced damage (by exogenous DNA-damaging agents or endogenous expression of endonucleases) have the benefit of inflicting specific types of damage, sometimes at known sites i