GitHub - cole-trapnell-lab/monocle3
WEBMonocle 3 is an analysis toolkit for single-cell RNA-Seq experiments. To use this package, you will need the R statistical computing environment (version 3.0 or later) and several packages available through Bioconductor and CRAN. Details on how to install and use Monocle 3 are available on our website: http://cole-trapnell-lab.github.io/monocle3/.
Monocle 3 - GitHub Pages
WEBMonocle 3. An analysis toolkit for single-cell RNA-seq. Get started» Trajectories. Build single-cell trajectories with the software that introduced pseudotime. Find cell fate decisions and the genes regulated as they're made. View details » Clustering. Group and classify your cells based on gene expression.
Installing Monocle 3 - GitHub Pages
WEBMonocle 3 runs in the R statistical computing environment. You will need R version 4.1.0 or higher, Bioconductor version 3.14, and monocle3 1.2.7 or higher to have access to the latest features.
Bioconductor - monocle
WEBMonocle performs differential expression and time-series analysis for single-cell expression experiments. It orders individual cells according to progress through a biological process, without knowing ahead of time which genes define progress through that process.
monocle3 package - RDocumentation
WEBMonocle 3 performs clustering, differential expression and trajectory analysis for single-cell expression experiments. It orders individual cells according to progress through a biological process, without knowing ahead of time which genes define progress through that process.
Getting started with Monocle 3 - GitHub Pages
WEBMonocle 3 is designed for use with absolute transcript counts (e.g. from UMI experiments). Monocle 3 works "out-of-the-box" with the transcript count matrices produced by Cell Ranger, the software pipeline for analyzing experiments …
Inferring single cell trajectories with Monocle3 (R)
WEBApr 12, 2023 · How do I perform a trajectory analysis using Monocle3 in R? What should I do when Galaxy’s Monocle tools are not enough? How do I assign cell types to the clusters?
cole-trapnell-lab/monocle3: Clustering, Differential Expression, and ...
WEBApr 7, 2024 · Monocle 3 performs clustering, differential expression and trajectory analysis for single-cell expression experiments. It orders individual cells according to progress through a biological process, without knowing ahead of time which genes define progress through that process.
Package 'monocle3' reference manual - blaserlab.r-universe.dev
WEBGet a genome from Cell Ranger output. Test genes for differential expression based on the low dimensional embedding and the principal graph. Report matrix and model identity information. Learn principal graph from the reduced …
cole-trapnell-lab/monocle3: README.md - R Package …
WEBApr 7, 2024 · Monocle 3 is an analysis toolkit for single-cell RNA-Seq experiments. To use this package, you will need the R statistical computing environment (version 3.0 or later) and several packages available through Bioconductor and CRAN.