Explore the latest advancements in computational systems biology with Stochastic Modelling for Systems Biology, Third Edition. This essential guide, updated for 2020, offers a comprehensive yet accessible introduction to stochastic kinetic modelling of biological networks. Discover new methods and applications, including a dedicated chapter on spatially extended systems and expanded statistical inference with Approximate Bayesian Computation (ABC). This edition significantly enhances its practical utility with extensive R package updates and a new Scala-based software library, facilitating the simulation and analysis of complex biological models. Ideal for researchers and students seeking to deepen their understanding of stochastic modelling in biology, this book provides a robust foundation for advanced study and real-world application.