Computational Cell Biology Simulator & In Silico Drug Testing Platform — C++20/Metal, Novak-Tyson CDK ODE, Fick Diffusion, PhysiPKPD Pharmacodynamics
-
Updated
Jul 11, 2026 - Python
Computational Cell Biology Simulator & In Silico Drug Testing Platform — C++20/Metal, Novak-Tyson CDK ODE, Fick Diffusion, PhysiPKPD Pharmacodynamics
AltAnalyze is a multi-functional and easy-to-use software package for automated single-cell and bulk gene and splicing analyses. Easy-to-use precompiled graphical user-interface versions available from our website.
Predict cell cycle phase in a continuum from single-cell RNA-seq data
Track single cells and profile the cell cycle with PCNA fluorescence images
Single-cell transcriptome analysis by fluorescence labeling
Interactive cell cycle analysis
What's all this talk about cell cycle models?
This is to show oscillations in the number of cells in G1 and in G2 phase of cell cycle.
RB loss modulates chromatin organization by regulating cohesin-dependent loops and enhancer-promoter interactions
ChIP-exo analysis highlights Fkh1 and Fkh2 transcription factors as hubs that integrate multi-scale networks in budding yeast | T.D.G.A. Mondeel, P. Holland, J. Nielsen and M. Barberis | 2019 | https://doi.org/10.1093/nar/gkz603
Track single-cells and profile the cell cycle with PCNA images.
"Transcriptional Heterogeneity and Cell Cycle Regulation as Central Determinants of Primitive Endoderm Priming" published in eLife (2022)
Bottom-up dynamical modeling of biological systems using ordinary, partial, and stochastic differential equations.
Circadian-cell cycle coupling orchestrates cell growth (Nature Physics 2025)
A web application for ingesting flow cytometry data, modeling cell-cycle distributions with the Dean-Jett-Fox model, and generating highly customizable, publication-ready plots.
Clb3-centered regulations are recurrent across distinct parameter regions in minimal autonomous cell cycle oscillator designs | Thierry D.G.A. Mondeel, Oleksandr Ivanov, Hans V. Westerhoff, Wolfram Liebermeister and Matteo Barberis | NPJ Syst. Biol. Appl. (2020) | https://doi.org/10.1038/s41540-020-0125-0
IFAC2020
Imoto, H. & Okada, M. Signal-dependent regulation of early-response genes and cell cycle: a quantitative view. Curr. Opin. Syst. Biol. 15, 100–108 (2019).
Add a description, image, and links to the cell-cycle topic page so that developers can more easily learn about it.
To associate your repository with the cell-cycle topic, visit your repo's landing page and select "manage topics."