GENI: A web server to identify gene set enrichments in tumor samples

The Cancer Genome Atlas (TCGA) and analogous projects have yielded invaluable tumor-associated genomic data. Despite several web-based platforms designed to enhance accessibility, certain analyses require prior bioinformatic expertise. To address this need, we developed Gene ENrichment Identifier (GENI, https://www.shaullab.com/geni), which is designed to promptly compute correlations for genes of interest against the entire transcriptome and rank them against well-established biological gene sets. Additionally, it generates comprehensive tables containing genes of interest and their corresponding correlation coefficients, presented in publication-quality graphs. Furthermore, GENI has the capability to analyze multiple genes simultaneously within a given gene set, elucidating their significance within a specific biological context. Overall, GENI's user-friendly interface simplifies the biological interpretation and analysis of cancer patient-associated data, advancing the understanding of cancer biology and accelerating scientific discoveries. •Analyzing the informative tumor-associated genomic databases could be challenging for non-expert users.•GENI is a user-friendly web-based tool that provides easily discernible gene expression patterns along with biological insights.•This website produces a table of significantly correlated genes and publication-quality multiple pathway enrichment graphs.•GENI offers a simple-to-use tool to analyze cancer patient-derived data.