RGenEDA

Clean, unified, streamlined, and reproducible frameworks for genomic exploratory data analyses

[!WARNING] RGenEDA has updated to v2.0.0 which introduced some breaking changes. Please ensure you are using the most up-to-date version


RGenEDA example outputs: sample distance heatmap, HVG variance profile, PCA, eigencorrelations, scree plot, eigenvector heatmap, and DEG p-value, MA and volcano plots

Installation

Install the latest version from Github

install.packages("devtools") # if not already instaled

library(devtools)
devtools::install_github("mikemartinez99/RGenEDA")

library(RGenEDA)

Usage

For a full demo, see Snail1 KO Dataset Demo

For some background on why EDA is important, see Compute and Conquer: The Basics of EDA

Change-log

Version Release April 2025: "The poor-man's EDA"

Version Release October 16th, 2025: "The GenEDA Object Update

Version Release November 3rd, 2025

Version Release November 10th, 2025

Version Release November 15th, 2025: "The DEG update"

Version Release January 21st, 2026

Version Release February 13th, 2026

Version Release October 29th, 2026

Version Release Bioconductor submission

Citation

If you use RGenEDA in your work, please cite: dx.doi.org/10.17504/protocols.io.bp2l6z6rdgqe/v1

📬 Contact

Mike Martinez M.S. - Dartmouth Genomic Data Science Core

f007qps@dartmouth.edu