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Everything about Gillespie algorithm

Method for simulating stochastic systems

In probability theory and computational science, the Gillespie algorithm, also known as the stochastic simulation algorithm (SSA), is a method for generating statistically exact sample trajectories of certain continuous-time Markov jump processes. It is especially associated with the simulation of coupled chemical reaction systems. Daniel Gillespie presented the method in 1976 and developed it further in 1977. Wikipedia →

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  1. Read the overview: Gillespie algorithmA 5-minute orientation
  2. Skim a recent paper: A differentiable Gillespie algorithm for simulating chemical kinetics, parameter estimation, and designing synthetic biological circuitsInfluential work since 2022
  3. Pick up a classic book: Stochastic modelling for systems biologyThe most-reprinted book on the subject
  4. Read the landmark paper: Continuous time boolean modeling for biological signaling: application of Gillespie algorithmCited 145 times
  5. Go sideways: Stochastic simulationA closely related topic
  6. Go sideways: Tau-leapingA closely related topic

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