Sampling and statistics in biomolecular simulations

Biomolecular simulations typically produce data in the form of a trajectory where the structure and dynamics are captured as a function of time. These data typically have inherent temporal correlations, however the many of the analysis methods we use are developed for sets of independent data. Here we present some ideas and methods for analyzing simulation data using bootstrapping techniques. Examples using molecular dynamics simulations are provided as illustrations.