📊 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

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

Lightweight Iterative Gene set Enrichment in R

Enrichment Networks for Pathway Enrichment Analysis

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

Molecular Signatures Database (MSigDB) in a data frame

Gene Set Clustering based on Functional annotation

Julia implementation of the next generation 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

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

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

Flexible gene set enrichment analysis

Function Enrichment analysis and Network construction

GSEA plots in ggplot2