Cited by 16Gene Regulatory Network AnalysisSimulation Techniques and Applicationsstochastic dynamics and bifurcation

The DOI matches its Crossref record.

DelaySSAToolkit.jl: stochastic simulation of reaction systems with time delays in Julia

Open access

Published version of a preprint

Abstract

Summary: DelaySSAToolkit.jl is a Julia package for modelling reaction systems with non-Markovian dynamics, specifically those with time delays. These delays implicitly capture multiple intermediate reaction steps and hence serve as an effective model reduction technique for complex systems in biology, chemistry, ecology and genetics. The package implements a variety of exact formulations of the delay stochastic simulation algorithm. Availability and implementation: The source code and documentation of DelaySSAToolkit.jl are available at https://github.com/palmtree2013/DelaySSAToolkit.jl.

Overview

Integrity signals

Registry

Crossref · 10.1093/bioinformatics/btac472

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Existing open-source biological modeling projects have extended Catalyst's intermediate representation.

    “Finally, we demonstrate Catalyst’s broad extensibility and composability by highlighting how it can compose with a variety of Julia libraries, and how existing open-source biological modeling projects have extended its intermediate representation.”

    From Catalyst: Fast and flexible modeling of reaction networks (2023) · cites this paper as [56]

  • Independent package developers already utilise Catalyst's extensibility.

    “Indeed, this is already being utilised by independent package developers.”

    From Catalyst: Fast and flexible modeling of reaction networks (2023) · cites this paper as [56]

  • DelaySSAToolkit.jl can accept Catalyst models as input to its SSAs that handle stochastic chemical kinetics models with delays.

    “while DelaySSAToolkit.jl [56] can accept Catalyst models as input to its SSAs that handle stochastic chemical kinetics models with delays.”

    From Catalyst: Fast and flexible modeling of reaction networks (2023) · cites this paper as [56]

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 14

  1. Barbuti, 2009, On the interpretation of delays in delay stochastic simulation of biological systems, Electron. Proc. Theor. Comput. Sci, 6, 17, 10.4204/EPTCS.6.2 · DOI
  2. Barrio, 2006, Oscillatory regulation of Hes1: discrete stochastic delay modelling and simulation, PLoS Comput. Biol, 2, e117, 10.1371/journal.pcbi.0020117 · DOI
  3. Cai, 2007, Exact stochastic simulation of coupled chemical reactions with delays, J. Chem. Phys, 126, 297
  4. Cortez, 2021, Hierarchical Bayesian models of transcriptional and translational regulation processes with delays, Bioinformatics, 38, 187, 10.1093/bioinformatics/btab618 · DOI
  5. Fu, 2021, Accurate inference of stochastic gene expression from nascent transcript heterogeneity, bioRxiv
  6. Gibson, 2000, Efficient exact stochastic simulation of chemical systems with many species and many channels, J. Phys. Chem. A, 104, 1876, 10.1021/jp993732q · DOI
  7. Gillespie, 1977, Exact stochastic simulation of coupled chemical reactions, J. Phys. Chem, 81, 2340, 10.1021/j100540a008 · DOI
  8. Jiang, 2021, Neural network aided approximation and parameter inference of non-Markovian models of gene expression, Nat. Commun, 12, 1, 10.1038/s41467-021-22919-1 · DOI
  9. Ma, 2021, ModelingToolkit: a composable graph transformation system for equation-based modeling, arXiv
  10. Maarleveld, 2013, StochPy: a comprehensive, user-friendly tool for simulating stochastic biological processes, PLoS One, 8, e79345, 10.1371/journal.pone.0079345 · DOI
  11. Mastny, 2007, Two classes of quasi-steady-state model reductions for stochastic kinetics, J. Chem. Phys, 127, 094106, 10.1063/1.2764480 · DOI
  12. Rackauckas, 2017, DifferentialEquations.jl—a performant and feature-rich ecosystem for solving differential equations in Julia, JORS, 5, 15, 10.5334/jors.151 · DOI · Paper page
  13. Roesch, 2021, Julia for biologists, arXiv, 10.48550/arXiv.2109.09973 · DOI
  14. Sukys, 2021, MomentClosure.jl: automated moment closure approximations in Julia, Bioinformatics, 38, 289, 10.1093/bioinformatics/btab469 · DOI · Paper page

Cited by

Sorted by citations

Metadata

Authors
Fu, X., Zhou, X., Gu, D., Cao, Z., & Grima, R.
Affiliations
  • East China University of Science and Technology (CN)
  • University of Edinburgh (GB)
Corresponding author
  • Fu, Xiaoming
  • Cao, Zhixing
  • Grima, Ramon
Venue
Bioinformatics
Published
2022-07-07
Volume
38
Issue
17
Pages
4243-4245
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W4284896622
Cited by
16
References
0
Citations by year
2026: 8 · 2025: 1 · 2024: 1 · 2023: 5 · 2022: 1
FWCI
0.65
Type
journal article
Language
en
Open access
Locations
  • Bioinformatics (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
Funders
  • National Natural Science Foundation of China (62073137)
  • CPSF (2021M071202)
  • Shanghai Sailing Program (22YF1410700)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Simulation Techniques and Applications
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
Keywords
time delay, reaction systems, non-Markovian dynamics, Julia package, model reduction, chemical reaction networks, stochastic simulation
MeSH terms
Algorithms, Computer Simulation, Software

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review