A tool to help analyze gene and protein data
Official title: An interactive and reproducible tool for enrichment analysis
Funded at South Dakota State University · NIH-10860542 · Data updated 2026-11-12
This study is creating a friendly online tool called ShinyGO that helps researchers easily understand and visualize complex gene and protein data, making it simpler for anyone, even those without a tech background, to see how genes are connected to biological processes in over 14,000 different organisms.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | South Dakota State University NIH-funded |
| Lab location | 1 site (Brookings, United States) |
| Project start | September 16, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2024 |
| Award (this year) | $177,901 |
| NIH project number | 1R01HG013534-01 |
| Project ID | NIH-10860542 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are researchers and scientists working in fields related to genomics, proteomics, and cancer biology who require tools for data analysis.
✕Less likely to help
Patients who are not involved in research or do not have a background in biological sciences may not benefit directly from this research.
What this research studies
This research focuses on developing an interactive web-based tool called ShinyGO that simplifies the process of enrichment analysis for gene and protein datasets. It aims to make it easier for researchers, especially those without computational training, to interpret complex biological data by linking gene-level changes to biological pathways. ShinyGO supports analysis for over 14,000 organisms and includes a variety of databases, allowing for dynamic visualizations of gene features and enrichment results. The tool is designed to be user-friendly and is regularly updated to ensure its relevance and effectiveness in the scientific community.
Why it matters
Potential benefit: If successful, this research could empower more researchers to effectively analyze and interpret biological data, potentially leading to new insights in cancer and other diseases.
How similar studies have gone: Other research has successfully developed similar interactive tools for data analysis, indicating a promising potential for this approach.
Where this research is happening
-
South Dakota State University
Brookings, United States Active
Researchers
- Principal investigator: Ge, Xijin — South Dakota State University
- Study coordinator: Ge, Xijin
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.