📊 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)

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

Brings bulk and pseudobulk transcriptomics to the tidyverse

Gene Set Enrichment Analysis and Over Representation Analysis analysis using R

MSigDB gene sets for multiple organisms in a tidy data format

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

Testing, development environment for a new project of KN BIBS

Lightweight Iterative Gene set Enrichment in R

Enrichment Networks for Pathway Enrichment Analysis

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

Course material for Enrichment analysis course by SIB

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

Molecular Signatures Database (MSigDB) in a data frame

Gene Set Clustering based on Functional annotation

Function Enrichment analysis and Network construction

GSEA plots in ggplot2

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

Flexible gene set enrichment analysis