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BioinformaticsComputational and Structural Biotechnology Journal
Peer-reviewed journal article

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

Arata HayashiiD, Shmuel RuppoiD, Elisheva E. HeilbruniD, Chiara MazzoniiD, Sheera AdariD, Moran YassouriD, Areej Abu RmailehiD, Yoav David ShauliD

Abstract

The Cancer Genome Atlas (TCGA) and other projects provide informative tumor-associated genomic data for the broad research community. Hence, several useful web-based tools have been generated to ease non-expert users with the analysis and characterization of a specific gene behavior in selected tumors. However, none of the existing tools offer the user the means to evaluate the expression profile of a given gene in the context of the whole transcriptome. Currently, such analyses require prior bioinformatic knowledge and expertise. Therefore, we developed GENI (Gene ENrichment Identifier) as a fast, user-friendly tool to analyze the TCGA expression data for gene set enrichments. GENI analyzes large-scale tumor-associated gene expression datasets and evaluates biological relevance, thus offering researchers a simplified means to analyze cancer patient-derived data. Availability and implementationGENI is a freely available fast web-based tool developed using the R programming language. It is accessible via the URL: https://yoavshaul-lab.shinyapps.io/gsea-geni/. The complete script can be found at https://github.com/ArataHayashi/GENI-Gene-ENrichment-Identifier.

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02 /Specification & Classification

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