Understanding how DNA sequences regulate gene expression using advanced computer models
Official title: Reliable post hoc interpretations of deep learning in genomics
Funded at Cold Spring Harbor Laboratory · NIH-11074078 · Data updated 2026-11-12
This study is exploring how certain proteins interact with parts of our DNA that don't code for genes to help control how genes are turned on or off, and the findings could lead to better, more personalized treatments for patients with different health conditions.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Cold Spring Harbor Laboratory NIH-funded |
| Lab location | 1 site (Cold Spring Harbor, United States) |
| Project start | August 1, 2023 |
| Project end | April 30, 2027 |
| Funding year | 2025 |
| Award (this year) | $384,000 |
| NIH project number | 5R01GM149921-03 |
| Project ID | NIH-11074078 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with genetic conditions or those interested in understanding the genetic basis of their health issues.
✕Less likely to help
Patients without genetic conditions or those not interested in genetic research may not receive direct benefits from this research.
What this research studies
This research investigates how transcription factors interact with non-coding DNA to regulate gene expression, utilizing advanced deep learning techniques. By developing methods to interpret the predictions made by deep neural networks, the project aims to uncover important features of DNA sequences that influence gene regulation. Patients may benefit from insights gained about genetic factors that contribute to various conditions, potentially leading to more personalized treatment approaches. The research will involve analyzing genomic data to improve the understanding of regulatory mechanisms at a detailed level.
Why it matters
Potential benefit: If successful, this research could lead to improved understanding of genetic regulation, enabling more personalized and effective treatments for patients with genetic disorders.
How similar studies have gone: Other research has shown promise in using deep learning for genomic analysis, but the specific interpretability methods proposed in this project are novel.
Where this research is happening
-
Cold Spring Harbor Laboratory
Cold Spring Harbor, United States Active
Researchers
- Principal investigator: Koo, Peter K — Cold Spring Harbor Laboratory
- Study coordinator: Koo, Peter K
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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.