Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
-
Updated
May 29, 2025
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
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
What's all this talk about cell cycle models?
Mechanistic Pan-Cancer Signaling Model
Interactive cell cycle analysis
Track single-cells and profile the cell cycle with PCNA images.
RB represses cohesin-dependent loop formation and safeguards E2F-independent transcription
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
"Transcriptional Heterogeneity and Cell Cycle Regulation as Central Determinants of Primitive Endoderm Priming" published in eLife (2022)
This is to show oscillations in the number of cells in G1 and in G2 phase of cell cycle.
Bottom-up dynamical modeling of biological systems using ordinary, partial, and stochastic differential equations.
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
Modeling the START transition in the budding yeast cell cycle
PyTorch + images of human T lymphocyte cells (Jurkat cells)
Deep Learning algorithm to predict the cell cycle phase using circular regression
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."