%0 Journal Article
%T GENI: A web server to identify gene set enrichments in tumor samples.
%A Hayashi A
%A Ruppo S
%A Heilbrun EE
%A Mazzoni C
%A Adar S
%A Yassour M
%A Rmaileh AA
%A Shaul YD
%J Comput Struct Biotechnol J
%V 21
%N 0
%D 2023
%M 38034403
%F 6.155
%R 10.1016/j.csbj.2023.10.053
%X 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.