📊 A universal enrichment tool for interpreting omics data

Gene Set Enrichment Analysis in Python

Single sample Gene Set Enrichment analysis (ssGSEA) and PTM Enrichment Analysis (PTM-SEA)

Brings bulk and pseudobulk transcriptomics to the tidyverse

MSigDB gene sets for multiple organisms in a tidy data format

Lightweight Iterative Gene set Enrichment in R

Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq

Differential expression (DE); gene set Enrichment Analysis (GSEA); single cell RNAseq studies (scRNAseq)

Enrichment Networks for Pathway Enrichment Analysis

Molecular Signatures Database (MSigDB) in a data frame

Gene Set Clustering based on Functional annotation

The official command-line program for gene-set-enrichment analysis (GSEA) 🏔️

Take command of your set enrichment analyses.

Gene Set Enrichment Analysis and Over Representation Analysis analysis using R

A web-based application to perform Gene Set Enrichment Analysis (GSEA) using clusterProfiler and shiny R libraries

Pandas API for multiple Gene Set Enrichment Analysis implementations in Python (GSEApy, cudaGSEA, GSEA)

Interpretation of RNAseq experiments through robust, efficient comparison to public databases

Flexible gene set enrichment analysis

Thermodynamically Motivated Enrichment Analysis (TMEA) is a new approach to gene set enrichment analysis.

GSEA plots in ggplot2