A tool to analyze RNA sequencing data for biological insights
Official title: An interactive tool for in-depth and reproducible analysis of RNA-seq data
Funded at South Dakota State University · NIH-10657551 · Data updated 2026-11-12
This study is developing an easy-to-use online tool that helps biologists, especially those at smaller labs, understand and analyze RNA sequencing data so they can turn complex information into useful insights about genes and biology.
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 2, 2020 |
| Project end | June 30, 2025 |
| Funding year | 2023 |
| Award (this year) | $176,975 |
| NIH project number | 5R01HG010805-04 |
| Project ID | NIH-10657551 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for benefiting from this research include biologists and researchers working with RNA sequencing data, especially those from smaller research institutions.
✕Less likely to help
Patients who are not involved in genomic research or do not work with RNA sequencing data may not receive any benefit from this research.
What this research studies
This research aims to create an interactive web application that simplifies the analysis of RNA sequencing data, making it accessible for biologists, particularly those at smaller institutions. The tool will enable users to translate complex genomic datasets into meaningful biological insights through a user-friendly interface. It will incorporate various analytic functionalities, including exploratory data analysis, clustering, and pathway analysis, while also providing rich data visualization capabilities. The project builds on a prototype called iDEP, which has already demonstrated the potential for reproducible analysis and integration with public RNA-seq datasets.
Why it matters
Potential benefit: If successful, this research could empower biologists to make significant discoveries in genomics by providing them with accessible tools for data analysis.
How similar studies have gone: Other research has shown success in developing bioinformatics tools for genomic data analysis, indicating that this approach has potential for meaningful advancements.
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.