Next we aim to compare the resources and libraries offered for search by Enrichr with other similar tools. For this, we compared Enrichr with GO-Elite (38) and MSigDB (6), two leading resources that contain a comprehensive collection of gene set libraries. We summarized all the sources of gene set libraries for the three resources and plotted a Venn diagram to show the overlap among these resources (Figure 3A). Enrichr contains a large portion of MSigDB but is more comprehensive than both resources. MSigDB (6) contains eight collections of gene set libraries, two of which are also included in Enrichr (Computational and Oncogenic signatures). Many of the other collections of gene set libraries in MSigDB share the same sources with other gene set libraries currently present in Enrichr. These include, for example, the GO, pathway databases such as KEGG, Biocarta and Reactome, microRNAs/gene targets and gene sets created from position weight matrices. In addition, we note that MSigDB contains chemical and genetic perturbation gene sets manually curated from supporting materials of publications, whereas Enrichr contains differentially expressed genes after chemical and
