Improving bioinformatics tools to handle data errors better
Official title: Assessing and improving the resilience of bioinformatics pipelines to data errors
Funded at Univ of Maryland, College Park · NIH-11026544 · Data updated 2026-11-12
This study is all about making sure that the computer programs used to analyze biological data are more accurate and reliable, so that doctors and researchers can trust the results they get, especially when it comes to diagnosing health conditions.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of Maryland, College Park NIH-funded |
| Lab location | 1 site (College Park, United States) |
| Project start | January 1, 2025 |
| Project end | December 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $608,586 |
| NIH project number | 1R01LM014698-01 |
| Project ID | NIH-11026544 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals whose diagnoses or treatments depend on bioinformatics analyses, particularly in clinical settings.
✕Less likely to help
Patients who do not rely on bioinformatics for their medical care or whose conditions are not influenced by data analysis may not benefit from this research.
What this research studies
This research focuses on enhancing bioinformatics pipelines by identifying and addressing errors in biological data that can lead to analytical mistakes. It aims to develop new algorithms and strategies that will help ensure more reliable results in clinical diagnostics and other applications. By understanding how data quality affects bioinformatics software, the project seeks to create tools that can better withstand data inaccuracies, ultimately improving the reliability of biological analyses.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnostic tools and better outcomes for patients relying on bioinformatics for their healthcare.
How similar studies have gone: While the approach of improving bioinformatics resilience is innovative, similar efforts in enhancing data quality and algorithm reliability have shown promise in other research contexts.
Where this research is happening
-
Univ of Maryland, College Park
College Park, United States Active
Researchers
- Principal investigator: Pop, Mihai — Univ of Maryland, College Park
- Study coordinator: Pop, Mihai
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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.