Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
-
Updated
Nov 4, 2024
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?
RB represses cohesin-dependent loop formation and safeguards E2F-independent transcription
This is to show oscillations in the number of cells in G1 and in G2 phase of cell cycle.
Mechanistic Pan-Cancer Signaling Model
Interactive cell cycle analysis
Track single-cells and profile the cell cycle with PCNA images.
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
Bottom-up dynamical modeling of biological systems using ordinary, partial, and stochastic differential equations.
Modeling the START transition in the budding yeast cell cycle
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).
PyTorch + images of human T lymphocyte cells (Jurkat cells)
Deep Learning algorithm to predict the cell cycle phase using circular regression
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
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."