A reduced model solution for the chemical master equation arising in stochastic analyses of biological networks. - Brian Munsky; Mustafa Khammash (CDC, 2006)

Stochastic analysis of gene regulatory networks using finite state projections and singular perturbation. - Brian Munsky; Slaven Peles; Mustafa Khammash (ACC, 2007)

Systems biology and control - A tutorial. - Pablo A. Iglesias; Mustafa Khammash; Brian Munsky; Eduardo D. Sontag; Domitilla Del Vecchio (CDC, 2007)

A multiple time interval finite state projection algorithm for the solution to the chemical master equation. - Brian Munsky; Mustafa Khammash (J. Comput. Phys., 2007)

Computation of switch time distributions in stochastic gene regulatory networks. - Brian Munsky; Mustafa Khammash (ACC, 2008)

Using noise transmission properties to identify stochastic gene regulatory networks. - Brian Munsky; Mustafa Khammash (CDC, 2008)

The Finite State Projection Approach for the Analysis of Stochastic Noise in Gene Networks. - Brian Munsky; Mustafa Khammash (IEEE Trans. Autom. Control., 2008)

Adaptive coarse-graining for transient and quasi-equilibrium analyses of stochastic gene regulation. - José Juan Tapia; James R. Faeder; Brian Munsky (CDC, 2012)

Perspective on the q-bio Summer School and Conference: 2007-2014 and beyond. - Orna Resnekov; Brian Munsky; William S. Hlavacek (Quant. Biol., 2014)

Computational design and interpretation of single-RNA translation experiments. - Luis U. Aguilera; William Raymond; Zachary R. Fox; Michael May; Elliot Djokic; Tatsuya Morisaki; Timothy J. Stasevich; Brian Munsky (PLoS Comput. Biol., 2019)

The finite state projection based Fisher information matrix approach to estimate information and optimize single-cell experiments. - Zachary R. Fox; Brian Munsky (PLoS Comput. Biol., 2019)

Optimal Design of Single-Cell Experiments within Temporally Fluctuating Environments. - Zachary R. Fox; Gregor Neuert; Brian Munsky (Complex., 2020)

Ten simple rules for managing laboratory information. - Casey-Tyler Berezin; Luis U. Aguilera; Sonja Billerbeck; Philip E. Bourne; Douglas Densmore; Paul S. Freemont; Thomas E. Gorochowski; Sarah I. Hernandez; Nathan J. Hillson; Connor R. King; Michael Köpke; Shuyi Ma; et al. (PLoS Comput. Biol., 2023)

Sequential design of single-cell experiments to identify discrete stochastic models for gene expression. - Joshua Cook; Eric Ron; Dmitri Svetlov; Luis U. Aguilera; Brian Munsky (CDC, 2024)