The article introduces GSEA-P 2.0, a desktop application for Gene Set Enrichment Analysis (GSEA), which is a computational method to assess the statistical significance of differences between two biological states. GSEA-P 2.0 includes several improvements over the previous version, such as enhanced analysis capabilities, seamless integration with the Molecular Signature Database (MSigDB), and an embedded browser for searching and mapping gene sets to various microarray platforms. The software also features improved visualizations, Gene Set Cards for concise annotations, and a batch analysis mode. The authors highlight the importance of gene set definition and curation, emphasizing the role of MSigDB in providing a comprehensive collection of gene sets. The new version is freely available for academic and commercial use, with extensive documentation and user feedback incorporated into the software.The article introduces GSEA-P 2.0, a desktop application for Gene Set Enrichment Analysis (GSEA), which is a computational method to assess the statistical significance of differences between two biological states. GSEA-P 2.0 includes several improvements over the previous version, such as enhanced analysis capabilities, seamless integration with the Molecular Signature Database (MSigDB), and an embedded browser for searching and mapping gene sets to various microarray platforms. The software also features improved visualizations, Gene Set Cards for concise annotations, and a batch analysis mode. The authors highlight the importance of gene set definition and curation, emphasizing the role of MSigDB in providing a comprehensive collection of gene sets. The new version is freely available for academic and commercial use, with extensive documentation and user feedback incorporated into the software.