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Decomposing bulk signals to reveal hidden information in processive enzyme reactions: A case study in mRNA translation

Fig 9

Generation of simulated data.

a): Simulated ensemble fluorescence signature constructed from the random IFI input vector weighted by the time-dependent state occupancy probabilities P of the Markov process. b): Superimposition of Gaussian noise to imitate thermal fluctuations. c): The simulated data curve is smoothed using a moving average. Note: To make differences in and visible, a Gaussian noise with a standard deviation of 0.01 and a moving average with a non-optimal subset size of 200 steps were used in this figure.

doi: https://doi.org/10.1371/journal.pcbi.1011918.g009