Statistical Methods for Building Random Transposon Mutagenesis Libraries
Allan Wilson Centre, University of Canterbury, Christchurch, New Zealand.Methods in Molecular Biology (Impact Factor: 1.29). 02/2008; 416:339-54. DOI: 10.1007/978-1-59745-321-9_22
During the construction of random transposon mutagenesis libraries, four essential statistical issues arise: (1) Computing basic probability results for number of open reading frame knockouts. (2) Estimating the number of new open reading frames that will be knockouts in the next set of clones. (3) Estimating the number of essential open reading frames. (4) Computing the probability that an open reading frame is essential given the distribution of insertions. This chapter examines these issues and evaluates potential solutions using three different approaches: Efron and Thisted's estimator, Will and Jacobs's parametric bootstrap, and Blades and Broman's Gibbs sampler. In doing so, this chapter provides guidance for using the R statistical project to solve these problems.
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.