Improving the speed and efficiency of genetic data analysis
Official title: Efficient and scalable pangenomes with the move structure
Funded at Johns Hopkins University · NIH-11018607 · Data updated 2026-11-12
This study is working on a new way to organize and access genetic information, which could help researchers get faster results and improve genetic testing and personalized medicine for patients like you.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Johns Hopkins University NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project start | February 1, 2024 |
| Project end | February 28, 2026 |
| Funding year | 2025 |
| Award (this year) | $200,058 |
| NIH project number | 5R21HG013433-02 |
| Project ID | NIH-11018607 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research would include individuals undergoing genetic testing or those with genetic disorders requiring detailed analysis.
✕Less likely to help
Patients who do not require genetic testing or have no genetic conditions may not receive direct benefits from this research.
What this research studies
This research focuses on developing a new method for indexing pangenomes using a novel algorithm called the 'move structure.' By enhancing the way genetic data is accessed and processed, the research aims to enable faster and more efficient queries of genetic information. This could significantly improve real-time sequencing applications and large-scale genetic analyses, making it easier for researchers to work with complex genetic data. Patients may benefit from advancements in genetic testing and personalized medicine as a result of this work.
Why it matters
Potential benefit: If successful, this research could lead to faster and more accurate genetic analyses, improving personalized treatment options for patients.
How similar studies have gone: Other research has shown success with similar indexing approaches in bioinformatics, indicating a promising potential for this novel method.
Where this research is happening
-
Johns Hopkins University
Baltimore, United States Active
Researchers
- Principal investigator: Langmead, Benjamin Thomas — Johns Hopkins University
- Study coordinator: Langmead, Benjamin Thomas
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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.