There are 0 repository under gillespie-algorithm topic.
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations
SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit
Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology
Julia Catalyst.jl importers for various reaction network file formats like BioNetGen and stoichiometry matrices
Finite State Projection algorithms for chemical reaction networks
Networkx implementation of the SIS epidemic model for large and heterogeneous networks
DelaySSAToolkit.jl: a tool in Julia for stochastic simulation with delays
A free, open-source tool for modeling chemical reaction networks in Python
🌲 a flexible gene expression simulator with codon-specific translation rates
Implementation of SIS epidemic model for large and heterogeneous networks using Fortran.
Simulate evolutionary biology models with Gillespie algorithm.
Simplest simulation to use non-Exponential transitions
Stochastic implementation of a Lotka-Volterra competition model extended to multidimensional niche spaces (published in 10.1103/PhysRevE.91.052107)
Shiny app simulating stochastic epidemics with Gillespie's direct method.
Numba accelerated implementation of Gillespie's algorithm for simulating stochastic processes
A Matlab library of numerical methods for solving differential equations stochastically and continuously .
An mRNA reaction scheme simulator using the Doob-Gillespie algorithm in R
This repository contains codes developed in 2022 to simulate the bacterial biofilm formation with the proposed stochastic biofilm disruption model based on quorum sensing mimickers and chemical reactions.
Stochastic Simulator of Chemical Reactions
Stochastic chemical kinetics using Gillespie algorithm and chemical master equation, application to enzyme kinetics
Bayesian inference of stochastic cellular processes with and without memory in Python.
Working with Gillespie algorithm in order to exam Double step gene expression model.
Efficient discrete random distribution for C++. The implementation uses array-based sum tree to allow fast sampling and updates of weighted events.
This project provides rigorous Python codes for simulating the stochastic movement of kinesin protein on a microtubule.
This repository contains the work that was conducted under the joint supervision of Dr. Behera and Prof. Sbalzarini at the Sbalzarini Lab, Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) and the Center for Systems Biology Dresden (CSBD).
A collection of projects done individually, and with a peer, in Stochastic and Deterministic Simulations, Least Squares Analysis, and the usage of Singular Value Decomposition for Low-Rank Image Compression, as well as in Pattern Recognition, as part of a master's level course in Scientific Computing at Uppsala University.
Stochastic simulation of CRISPR nucleases cleaving a pool of DNA or RNA
Stochastic simulation of Enzyme kinetics at work
Bottom-up dynamical modeling of biological systems using ordinary, partial, and stochastic differential equations.