Ramon Grima

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Saccharomyces Cerevisiae

Heat Shock Protein

Gene Expression

Top Venues

The Journal of chemical physics

Nature communications

Journal of the Royal Society, Interface

PLoS computational biology

This page only lists publications with an associated author ORCID identifier.

Publications

Chen Jia, Ramon Grima
Holimap: an accurate and efficient method for solving stochastic gene network dynamics. Nature communications 15 (1) (2024)
Lucy Ham, Megan A Coomer, Kaan Öcal, Ramon Grima, Michael P H Stumpf
A stochastic vs deterministic perspective on the timing of cellular events. Nature communications 15 (1) (2024)
Chen Jia, Ramon Grima
Holimap: an accurate and efficient method for solving stochastic gene network dynamics. Nature communications 15 (1) (2024)
Bingjie Wu, James Holehouse, Ramon Grima, Chen Jia
Solving the time-dependent protein distributions for autoregulated bursty gene expression using spectral decomposition. The Journal of chemical physics 160 (7) (2024)
Lucy Ham, Megan A Coomer, Kaan Öcal, Ramon Grima, Michael P H Stumpf
A stochastic vs deterministic perspective on the timing of cellular events. Nature communications 15 (1) (2024)
Lucy Ham, Megan A Coomer, Kaan Öcal, Ramon Grima, Michael P H Stumpf
A stochastic vs deterministic perspective on the timing of cellular events. Nature communications 15 (1) (2024)
Yiling Wang, Zhenhua Yu, Ramon Grima, Zhixing Cao
Exact solution of a three-stage model of stochastic gene expression including cell-cycle dynamics. The Journal of chemical physics 159 (22) (2023)
Douglas E Weidemann, James Holehouse, Abhyudai Singh, Ramon Grima, Silke Hauf
The minimal intrinsic stochasticity of constitutively expressed eukaryotic genes is sub-Poissonian. Science advances 9 (32) (2023)
Douglas E Weidemann, Abhyudai Singh, Ramon Grima, Silke Hauf
The minimal intrinsic stochasticity of constitutively expressed eukaryotic genes is sub-Poissonian. bioRxiv : the preprint server for biology (2023)
Lyndsay Kerr, Ioannis Kafetzopoulos, Ramon Grima, Duncan Sproul
Genome-wide single-molecule analysis of long-read DNA methylation reveals heterogeneous patterns at heterochromatin that reflect nucleosome organisation. PLoS genetics 19 (10) (2023)
Yiling Wang, Zhenhua Yu, Ramon Grima, Zhixing Cao
Exact solution of a three-stage model of stochastic gene expression including cell-cycle dynamics. The Journal of chemical physics 159 (22) (2023)
Kaan Öcal, Guido Sanguinetti, Ramon Grima
Model reduction for the Chemical Master Equation: An information-theoretic approach. The Journal of chemical physics 158 (11) (2023)
Chen Jia, Abhyudai Singh, Ramon Grima
Concentration fluctuations in growing and dividing cells: Insights into the emergence of concentration homeostasis. PLoS computational biology 18 (10) (2022)
Xiaoming Fu, Xinyi Zhou, Dongyang Gu, Zhixing Cao, Ramon Grima
DelaySSAToolkit.jl: stochastic simulation of reaction systems with time delays in Julia. Bioinformatics (Oxford, England) 38 (17) (2022)
Chen Jia, Abhyudai Singh, Ramon Grima
Characterizing non-exponential growth and bimodal cell size distributions in fission yeast: An analytical approach. PLoS computational biology 18 (1) (2022)
Kaan Öcal, Michael U Gutmann, Guido Sanguinetti, Ramon Grima
Inference and uncertainty quantification of stochastic gene expression via synthetic models. Journal of the Royal Society, Interface 19 (192) (2022)
Lyndsay Kerr, Duncan Sproul, Ramon Grima
Cluster mean-field theory accurately predicts statistical properties of large-scale DNA methylation patterns. Journal of the Royal Society, Interface 19 (186) (2022)
Xiaoming Fu, Heta P Patel, Stefano Coppola, Libin Xu, Zhixing Cao, Tineke L Lenstra, Ramon Grima
Quantifying how post-transcriptional noise and gene copy number variation bias transcriptional parameter inference from mRNA distributions. eLife 11 (2022)
James Holehouse, Augustinas Sukys, Ramon Grima
Stochastic time-dependent enzyme kinetics: Closed-form solution and transient bimodality. The Journal of chemical physics 153 (16) (2021)
Svitlana Braichenko, James Holehouse, Ramon Grima
Distinguishing between models of mammalian gene expression: telegraph-like models versus mechanistic models. Journal of the Royal Society, Interface 18 (183) (2021)
Qingchao Jiang, Xiaoming Fu, Shifu Yan, Runlai Li, Wenli Du, Zhixing Cao, Feng Qian, Ramon Grima
Neural network aided approximation and parameter inference of non-Markovian models of gene expression. Nature communications 12 (1) (2021)
Chen Jia, Ramon Grima
Dynamical phase diagram of an auto-regulating gene in fast switching conditions. The Journal of chemical physics 152 (17) (2020)
Chen Jia, Ramon Grima
Small protein number effects in stochastic models of autoregulated bursty gene expression. The Journal of chemical physics 152 (8) (2020)
Tatiana Filatova, Nikola Popovic, Ramon Grima
Statistics of Nascent and Mature RNA Fluctuations in a Stochastic Model of Transcriptional Initiation, Elongation, Pausing, and Termination. Bulletin of mathematical biology 83 (1) (2020)
Stephen Smith, Claudia Cianci, Ramon Grima
Macromolecular crowding directs the motion of small molecules inside cells. Journal of the Royal Society, Interface 14 (131) (2018)
Ramon Grima, André Leier
Exact Product Formation Rates for Stochastic Enzyme Kinetics. The journal of physical chemistry. B 121 (1) (2016)