Developing advanced computational tools for analyzing genomic data
Scalable Computational Methods for Genealogical Inference: from species level to single cells
['FUNDING_R01'] · UNIVERSITY OF CALIFORNIA BERKELEY · NIH-10981028
This study is working on new computer tools to help scientists make sense of large amounts of genetic information, which could lead to exciting discoveries about how our bodies work and improve health for everyone.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIFORNIA BERKELEY (nih funded) |
| Locations | 1 site (BERKELEY, UNITED STATES) |
| Trial ID | NIH-10981028 on ClinicalTrials.gov |
What this research studies
This research focuses on creating innovative computational methods to analyze vast amounts of genomic data, which can help biomedical researchers understand biological processes better. By developing scalable algorithms and user-friendly software, the project aims to improve the accuracy of genealogical inference from genetic sequences. This will enable researchers to make new biological discoveries that could enhance human health. The approach includes using probabilistic models and efficient estimation techniques to interpret complex genomic information.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with genetic conditions or those interested in the genetic basis of diseases.
Not a fit: Patients without genetic conditions or those not interested in genetic research may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to breakthroughs in understanding genetic diseases and improving personalized medicine.
How similar studies have performed: Other research has shown success in using computational methods for genomic analysis, indicating that this approach is promising and builds on established techniques.
Where this research is happening
BERKELEY, UNITED STATES
- UNIVERSITY OF CALIFORNIA BERKELEY — BERKELEY, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: SONG, YUN S — UNIVERSITY OF CALIFORNIA BERKELEY
- Study coordinator: SONG, YUN S
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.