Metascape is a web-based resource for analyzing systems-level datasets, integrating over 40 biological knowledgebases and providing tools for functional enrichment, interactome analysis, gene annotation, and membership search. It simplifies the analysis of OMICs data through a one-click Express Analysis interface, enabling users to generate interpretable results. Metascape allows comparative analysis of datasets across multiple experiments and supports the identification of enriched biological pathways and protein complexes. It also facilitates the integration of gene lists from different platforms, helping to uncover consistent underlying pathways or networks. The tool is designed to be user-friendly, with features such as automated gene identifier conversion, orthologue mapping, and dynamic clustering of enriched terms to reduce redundancy and enhance interpretation. Metascape also provides visualization tools like enrichment networks, heatmaps, and Circos plots to aid in the interpretation of complex datasets. The platform is continuously updated to ensure the use of current biological databases and addresses the need for integrated, efficient analysis of OMICs data. Metascape supports multiple model organisms and provides detailed annotations, including gene functions, subcellular locations, and interactions. It is designed to be accessible to both experienced and inexperienced users, offering a streamlined workflow for gene list analysis and enabling the identification of novel therapeutic targets and molecular insights. Metascape is an open-access resource available at http://metascape.org.Metascape is a web-based resource for analyzing systems-level datasets, integrating over 40 biological knowledgebases and providing tools for functional enrichment, interactome analysis, gene annotation, and membership search. It simplifies the analysis of OMICs data through a one-click Express Analysis interface, enabling users to generate interpretable results. Metascape allows comparative analysis of datasets across multiple experiments and supports the identification of enriched biological pathways and protein complexes. It also facilitates the integration of gene lists from different platforms, helping to uncover consistent underlying pathways or networks. The tool is designed to be user-friendly, with features such as automated gene identifier conversion, orthologue mapping, and dynamic clustering of enriched terms to reduce redundancy and enhance interpretation. Metascape also provides visualization tools like enrichment networks, heatmaps, and Circos plots to aid in the interpretation of complex datasets. The platform is continuously updated to ensure the use of current biological databases and addresses the need for integrated, efficient analysis of OMICs data. Metascape supports multiple model organisms and provides detailed annotations, including gene functions, subcellular locations, and interactions. It is designed to be accessible to both experienced and inexperienced users, offering a streamlined workflow for gene list analysis and enabling the identification of novel therapeutic targets and molecular insights. Metascape is an open-access resource available at http://metascape.org.