Developing advanced methods for assembling complex human genomes
Official title: Robust and cost-effective computational methods for haplotype-resolved genome assemblies
Funded at Yale University · NIH-11179519 · Data updated 2026-11-12
This study is working on new computer programs to help piece together our DNA more accurately, which could lead to better understanding and treatment of genetic disorders for patients like you.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | February 13, 2023 |
| Project end | July 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $249,000 |
| NIH project number | 4R00HG012798-03 |
| Project ID | NIH-11179519 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with genetic disorders or those interested in understanding their genomic information more comprehensively.
✕Less likely to help
Patients with non-genetic conditions or those not interested in genomic analysis may not receive any benefit from this research.
What this research studies
This research focuses on creating innovative computational algorithms to assemble haplotype-resolved genomes, which are essential for understanding genetic variations and complex regions of the human genome. By utilizing advanced long-read sequencing technologies, the project aims to improve the accuracy and cost-effectiveness of genome assemblies. Patients may benefit from these advancements as they could lead to better insights into genetic disorders and personalized medicine approaches. The research will specifically target the development of algorithms that can effectively handle repetitive genomic regions, which are often challenging to analyze.
Why it matters
Potential benefit: If successful, this research could enhance the understanding of genetic variations and improve personalized treatment options for patients with complex genetic conditions.
How similar studies have gone: Previous research utilizing similar advanced sequencing technologies and computational methods has shown promising results in improving genome assembly accuracy.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Cheng, Haoyu — Yale University
- Study coordinator: Cheng, Haoyu
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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.