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ClusterGVis

To enhance clustering and visualization of time-series gene expression data from RNA-Seq experiments, we present the ClusterGVis package. This tool enables concise and elegant analysis of time-series gene expression data in a simple, one-step operation. Additionally, you can perform enrichment analysis for each cluster using the enrichCluster function, which integrates seamlessly with clusterProfiler. ClusterGVis empowers you to create publication-quality visualizations with ease.

Thanks for the contributions for clusterProfiler and ComplexHeatmap!

Requirements

There are some R package to make sure have been installed for better installing ClusterGVis：

BiocManager::install("ComplexHeatmap")
BiocManager::install("clusterProfiler")
BiocManager::install("TCseq")
BiocManager::install("Mfuzz")
BiocManager::install("monocle")
devtools::install_github('cole-trapnell-lab/monocle3')
install.packages("circlize")
install.packages("Seurat")

Installation

You can install the development version of ClusterGVis like so:

# Note: please update your ComplexHeatmap to the latest version!
# install.packages("devtools")
devtools::install_github("junjunlab/ClusterGVis")

Citation

Jun Zhang (2022). ClusterGVis: One-step to Cluster and Visualize Gene Expression Matrix. https://github.com/junjunlab/ClusterGVis

Documentation

The comprehensive documentation: https://junjunlab.github.io/ClusterGvis-manual/

Interactive web App

https://github.com/junjunlab/ClusterGvis-app

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.