Markov chain Monte Carlo (MCMC) methodology provides enormous scope for realistic statistical modelling. Until recently, acknowledging the full complexity and structure in many applications was difficult and required the development of specific methodology and purpose-built software. The alternative was to coerce the problem into the over-simple framework of an available method. Now, MCMC methods provide a unifying framework within which many complex problems can be analysed using generic software.