Sequence transformations and genome tools for faster, smarter DNA comparisons
Official title: Sequence transformations and microbiology: theory, tools, & discovery
Funded at Carnegie-Mellon University · NIH-11404051 · Data updated 2026-11-12
A scientist-led project at Carnegie Mellon is making faster, smarter software to compare DNA sequences, which could speed up how we understand human and chimp genomes and detect gene transfers.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Carnegie-Mellon University NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project start | September 1, 2025 |
| Project end | August 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $413,012 |
| NIH project number | 5R35GM160134-02 |
| Project ID | NIH-11404051 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates include researchers and clinicians who work with genomic data and need fast, accurate sequence analysis tools.
✕Less likely to help
Patients would not directly participate in this grant since it focuses on tool development; benefits come through downstream research and clinical applications.
What this research studies
The project focuses on developing and applying mathematical ideas about how to transform DNA strings so we can find approximate matches quickly, even when there are errors or mutations. The team has already created software like skani and proven theoretical results that support accurate sequence sketching and alignment. This grant would advance the theory and engineering of these tools to enable faster, more scalable genome comparisons that can benefit research and clinical genomics. The work bridges theory and practical software, helping researchers analyze large genomic datasets more efficiently.
Why it matters
Potential benefit: If successful, the software could accelerate genomic research and potentially inform personalized medicine by enabling faster analysis of patient genomes and related data.
How similar studies have gone: Previous work demonstrated rigorous theory and produced practical tools, indicating a solid foundation for success, though continued innovation remains essential.
Where this research is happening
-
Carnegie-Mellon University
Pittsburgh, United States Active
Researchers
- Principal investigator: Yu, Yun William — Carnegie-Mellon University
- Study coordinator: Yu, Yun William
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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.