Understanding genomic data through advanced computational tools
Official title: Inference and application of graphs for genomic data
Funded at University of California Berkeley · NIH-11098436 · Data updated 2026-11-12
This study is creating new computer tools to help scientists understand genetic differences and history better, which could lead to improved insights for patients with genetic conditions.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Berkeley NIH-funded |
| Lab location | 1 site (Berkeley, United States) |
| Project start | June 1, 2024 |
| Project end | April 30, 2029 |
| Funding year | 2025 |
| Award (this year) | $427,002 |
| NIH project number | 5R35GM153400-02 |
| Project ID | NIH-11098436 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research include individuals with genetic conditions or those interested in the genetic basis of diseases.
✕Less likely to help
Patients with non-genetic conditions or those not interested in genetic research may not receive any benefit from this research.
What this research studies
This research focuses on developing innovative computational tools that analyze genomic data using Ancestral Recombination Graphs (ARGs). By employing Bayesian methods, the project aims to enhance our understanding of genetic variation, mutation, and demographic history. Patients may benefit from these tools as they could lead to better insights into genetic conditions and evolutionary processes. The research will also provide user-friendly software for researchers to apply these methods to their own genomic data.
Why it matters
Potential benefit: If successful, this research could lead to improved understanding and treatment of genetic conditions by providing deeper insights into genomic variation.
How similar studies have gone: Previous research using Bayesian methods and ARGs has shown promise in understanding genomic data, suggesting that this approach could yield significant insights.
Where this research is happening
-
University of California Berkeley
Berkeley, United States Active
Researchers
- Principal investigator: Nielsen, Rasmus — University of California Berkeley
- Study coordinator: Nielsen, Rasmus
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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.