Understanding genomic data through advanced computational tools
Inference and application of graphs for genomic data
['FUNDING_OTHER'] · UNIVERSITY OF CALIFORNIA BERKELEY · NIH-11098436
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
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIFORNIA BERKELEY (nih funded) |
| Locations | 1 site (BERKELEY, UNITED STATES) |
| Trial ID | NIH-11098436 on ClinicalTrials.gov |
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.
Who could benefit from this research
Good fit: Ideal candidates for participation or benefit from this research include individuals with genetic conditions or those interested in the genetic basis of diseases.
Not a fit: Patients with non-genetic conditions or those not interested in genetic research may not receive any benefit from this research.
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 performed: 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
BERKELEY, UNITED STATES
- UNIVERSITY OF CALIFORNIA BERKELEY — BERKELEY, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: NIELSEN, RASMUS — UNIVERSITY OF CALIFORNIA BERKELEY
- Study coordinator: NIELSEN, RASMUS
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 below.