We describe a Bayesian method for estimating the number of essential genes in a genome, on the basis of data on viable mutants for which a single transposon was inserted after a random TA site in a genome,potentially disrupting a gene. The prior distribution for the number of essential genes was taken to be uniform. A Gibbs sampler was used to estimate the posterior distribution. The method is illustrated with simulated data. Further simulations were used to study the performance of the procedure.
Blades, Natalie J. and Broman, Karl W., "Estimating the Number of Essential Genes in a Genome by Random Transposon Mutagenesis" (July 2002). Johns Hopkins University, Dept. of Biostatistics Working Papers. Working Paper 15.