Gene expression data visualization tool on the o²S²PARC platform

Area of Science:

• Bioinformatics
• Genomics
• Computational Biology

Background:

• Differential gene expression analysis is crucial for identifying biomarkers and therapeutic targets in genetic diseases.
• Understanding gene functions, biological processes, and cellular components associated with gene expression changes is essential.

Purpose of the Study:

• To develop an interactive pipeline for gene expression data visualization, ontological mapping, and statistical evaluation using the o²S²PARC platform.
• To demonstrate the utility of the developed tool through a case study.

Main Methods:

• Development of an o²S²PARC template for an interactive gene expression analysis pipeline.
• Implementation of visualization tools including volcano plots for differentially expressed genes (DEGs).
• Integration of ontological mapping and visualization using barplots.

Main Results:

• The developed tool successfully identifies DEGs and presents them in an interactive volcano plot.
• Associated ontologies for DEGs are assigned and visualized, providing insights into biological context.
• A case study confirmed the tool's effectiveness on a publicly available dataset.

Conclusions:

• The o²S²PARC platform now hosts a user-friendly "Expression data visualization" template.
• This tool facilitates the exploration of gene expression data for genetic disease research.
• The template is publicly accessible, promoting wider adoption and research advancement.