Finite State Projection algorithms for chemical reaction networks
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Updated
Oct 17, 2024 - Julia
Finite State Projection algorithms for chemical reaction networks
Python package for stochastic simulations
A Julia implementation of Gillespie's algorithm(s).
Tools for data generation and data analysis for the eLife research article - "The solubility product extends the buffering concept to heterotypic biomolecular condensates"
Software supporting M. Cavallaro, et al., 3′-5′ crosstalk contributes to transcriptional bursting. Genome Biol 22, 56 (2021). https://doi.org/10.1186/s13059-020-02227-5
A glimpse of some stochastic simulation methods. I don't claim originality for the results posted here: these are mostly some quick experiments I did while doing research.
Implementation of Gillespie Stochastic Simulation Algorithm
Modigliani is a stochastic simulation framework for neuroscientists
Tutorial for Statistical Inference with Julia.
An implementation of a pratical guide to stochastic simulations of reaction-diffusion processes
Code for the paper "Bistability in Type I Toxin-Antitoxin Systems May Lead to Stress-Induced Persister Formation" by Sofija Markovic, Magdalena Djordjevic, Hong-Yu OU, and Marko Djordjevic.
Numba accelerated and multiprocess simulation of propagation of the African Swine Fever Virus
Simulation and kernel density estimation of linear and non-linear stochastic systems. Some codes include the computation of the information rate, KL-divergence and information length.
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