The finite state projection algorithm for the solution of the chemical master equation B Munsky, M Khammash The Journal of chemical physics 124 (4), 2006 | 908 | 2006 |
Using gene expression noise to understand gene regulation B Munsky, G Neuert, A Van Oudenaarden Science 336 (6078), 183-187, 2012 | 838 | 2012 |
Ribozyme-based insulator parts buffer synthetic circuits from genetic context C Lou, B Stanton, YJ Chen, B Munsky, CA Voigt Nature biotechnology 30 (11), 1137-1142, 2012 | 432 | 2012 |
Systematic identification of signal-activated stochastic gene regulation G Neuert, B Munsky, RZ Tan, L Teytelman, M Khammash, ... Science 339 (6119), 584-587, 2013 | 313 | 2013 |
Transcription factors modulate c-Fos transcriptional bursts A Senecal, B Munsky, F Proux, N Ly, FE Braye, C Zimmer, F Mueller, ... Cell reports 8 (1), 75-83, 2014 | 300 | 2014 |
Listening to the noise: random fluctuations reveal gene network parameters B Munsky, B Trinh, M Khammash Molecular systems biology 5 (1), 318, 2009 | 256 | 2009 |
Reduction and solution of the chemical master equation using time scale separation and finite state projection S Peleš, B Munsky, M Khammash The Journal of chemical physics 125 (20), 2006 | 159 | 2006 |
The simplicity of completion time distributions for common complex biochemical processes G Bel, B Munsky, I Nemenman Physical biology 7 (1), 016003, 2009 | 113 | 2009 |
Machine learning to predict microbial community functions: an analysis of dissolved organic carbon from litter decomposition J Thompson, R Johansen, J Dunbar, B Munsky PLoS One 14 (7), e0215502, 2019 | 95 | 2019 |
A multiple time interval finite state projection algorithm for the solution to the chemical master equation B Munsky, M Khammash Journal of Computational Physics 226 (1), 818-835, 2007 | 95 | 2007 |
Integrating single-molecule experiments and discrete stochastic models to understand heterogeneous gene transcription dynamics B Munsky, Z Fox, G Neuert Methods 85, 12-21, 2015 | 92 | 2015 |
Distribution shapes govern the discovery of predictive models for gene regulation B Munsky, G Li, ZR Fox, DP Shepherd, G Neuert Proceedings of the National Academy of Sciences 115 (29), 7533-7538, 2018 | 88 | 2018 |
The finite state projection approach for the analysis of stochastic noise in gene networks B Munsky, M Khammash IEEE Transactions on Automatic Control 53 (Special Issue), 201-214, 2008 | 83 | 2008 |
Induced-shear piezoelectric actuators for rotor blade trailing edge flaps LR Centolanza, EC Smith, B Munsky Smart Materials and Structures 11 (1), 24, 2002 | 60 | 2002 |
Identification from stochastic cell-to-cell variation: a genetic switch case study B Munsky, M Khammash IET systems biology 4 (6), 356-366, 2010 | 49 | 2010 |
Live-cell single RNA imaging reveals bursts of translational frameshifting K Lyon, LU Aguilera, T Morisaki, B Munsky, TJ Stasevich Molecular Cell 75 (1), 172-183. e9, 2019 | 48 | 2019 |
Finite state projection based bounds to compare chemical master equation models using single-cell data Z Fox, G Neuert, B Munsky The Journal of chemical physics 145 (7), 2016 | 44 | 2016 |
Quantifying the dynamics of IRES and cap translation with single-molecule resolution in live cells A Koch, L Aguilera, T Morisaki, B Munsky, TJ Stasevich Nature Structural & Molecular Biology 27 (12), 1209-1210, 2020 | 43 | 2020 |
Live-cell imaging reveals the spatiotemporal organization of endogenous RNA polymerase II phosphorylation at a single gene LS Forero-Quintero, W Raymond, T Handa, MN Saxton, T Morisaki, ... Nature Communications 12 (1), 3158, 2021 | 42 | 2021 |
Counting small RNA in pathogenic bacteria DP Shepherd, N Li, SN Micheva-Viteva, B Munsky, E Hong-Geller, ... Analytical chemistry 85 (10), 4938-4943, 2013 | 41 | 2013 |