Gene expression data visualization tool on the o²S²PARC platform

Abstract

<ns4:p> <ns4:bold>Background:</ns4:bold> The identification of differentially expressed genes and their associated biological processes, molecular function, and cellular components are essential for genetic disease studies because they present potential biomarkers and therapeutic targets. </ns4:p> <ns4:p> <ns4:bold>Methods:</ns4:bold> In this study, we developed an o²S²PARC template to instantiate an interactive pipeline for gene expression data visualization, ontological mapping, and statistical evaluation. To demonstrate the tool's usefulness, we performed a case study on a publicly available dataset. </ns4:p> <ns4:p> <ns4:bold>Results:</ns4:bold> The tool enables users to identify the differentially expressed genes (DEGs) and visualize them in a volcano plot format. Ontologies associated with the DEGs are assigned and visualized in barplots. </ns4:p> <ns4:p> <ns4:bold>Conclusions</ns4:bold> : The “Expression data visualization” template is publicly available on the o²S²PARC platform. </ns4:p>