One of the new features of Enrichr is the visualization of the enrichment results as clustergrams. This is achieved using Clustergrammer (https://github.com/MaayanLab/clustergrammer), an independent data visualization module we developed for multiple projects. Clustergrammer provides dynamic visualizations of Enrichr's enrichment analysis results. It enables a user to visualize the associations between their input genes and the overlapping genes of the top enriched terms. Clustergrammer visualizes these associations using a heat map in which the columns are the top enriched terms, and the rows are the input genes. The cells in the heat map indicate whether a gene from the input list overlaps with genes that belong to an enriched term. The enriched terms in the columns of the heat map are ranked based on their enrichment score. This score is indicated by the length of a transparent red bar that is displayed above the column labels. The input genes are hierarchically clustered based on their associations with the top enriched terms. Clustering is calculated using the Jaccard distance and average linkage. The heat map is interactive; a user can zoom and
