Improving the quality of organelle genome data for better scientific research
Official title: Enabling data quality assessment of organelle genomes archived on GenBank through novel open-source software tools
Funded at Fort Hays State University · NIH-10858197 · Data updated 2026-11-12
This study is creating new software to help scientists check the accuracy of genetic information about tiny cell parts called organelles, making sure that the data used in health and environmental research is reliable and easy to understand.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Fort Hays State University NIH-funded |
| Lab location | 1 site (Hays, United States) |
| Project start | September 10, 2024 |
| Project end | August 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $119,603 |
| NIH project number | 1R01LM014506-01 |
| Project ID | NIH-10858197 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for benefiting from this research include individuals involved in biomedical research that relies on organelle genome data, such as those studying human genetics or environmental health.
✕Less likely to help
Patients who are not engaged in research or do not require genomic data for their medical conditions may not receive any direct benefit from this research.
What this research studies
This research focuses on developing new software tools that help scientists evaluate the quality of organelle genomes stored in GenBank, a major genetic database. By addressing issues like incorrect genome assembly and incomplete annotations, the project aims to ensure that only reliable genomic data is used in various biomedical studies, including those related to human health and environmental science. The tools will automate the assessment process, making it easier for researchers to visualize and quantify the accuracy of these genomes. This effort will ultimately enhance the integrity of genomic research across multiple disciplines.
Why it matters
Potential benefit: If successful, this research could lead to more accurate genomic data being used in biomedical investigations, improving outcomes in fields like human genetics and environmental health.
How similar studies have gone: While the approach of developing computational tools for data quality assessment is innovative, similar methodologies have shown promise in other areas of genomic research.
Where this research is happening
-
Fort Hays State University
Hays, United States Active
Researchers
- Principal investigator: Gruenstaeudl, Michael — Fort Hays State University
- Study coordinator: Gruenstaeudl, Michael
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.