Improving how we analyze large genetic datasets for human diseases
Official title: Scaling up computational genomics with tree sequences
Funded at University of Oregon · NIH-11059065 · Data updated 2026-11-12
This study is working on new computer tools to help scientists better understand our genes, which could lead to improved treatments for diseases, so patients can benefit from the latest discoveries in genetic research.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Oregon NIH-funded |
| Lab location | 1 site (Eugene, United States) |
| Project start | June 5, 2023 |
| Project end | March 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $527,634 |
| NIH project number | 5R01HG012473-03 |
| Project ID | NIH-11059065 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research are individuals with genetic conditions or those interested in genetic research.
✕Less likely to help
Patients with conditions that are not primarily influenced by genetic factors may not receive benefit from this research.
What this research studies
This research focuses on enhancing computational methods to better handle and analyze vast collections of human genome sequences. By developing new algorithms and data structures, the project aims to improve our ability to process millions of genetic samples, which is essential for understanding the complex genetic causes of diseases. The approach includes creating scalable computational frameworks that can efficiently manage and analyze large datasets, ultimately leading to better insights and therapies. Patients may benefit from advancements in genetic research that arise from these improved methodologies.
Why it matters
Potential benefit: If successful, this research could lead to more effective therapies for genetic diseases by enabling a deeper understanding of their genetic underpinnings.
How similar studies have gone: Other research has shown success in improving computational methods for genetic analysis, indicating that this approach has potential for significant advancements.
Where this research is happening
-
University of Oregon
Eugene, United States Active
Researchers
- Principal investigator: Ralph, Peter Lochhead — University of Oregon
- Study coordinator: Ralph, Peter Lochhead
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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.