Developing a new model to analyze RNA sequencing data
Official title: A unified probabilistic model and software implementation for analysis of nascent RNA sequencing data
Funded at Cold Spring Harbor Laboratory · NIH-10801419 · Data updated 2026-11-12
This study is looking at how our bodies make RNA from DNA, which is important for health, and aims to develop a smart computer model to better understand this process, helping to improve diagnosis and treatment for patients with related health issues.
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 | September 16, 2024 |
| Project end | July 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $594,501 |
| NIH project number | 1R01HG012944-01A1 |
| Project ID | NIH-10801419 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with conditions linked to transcriptional dysregulation, such as certain cancers.
✕Less likely to help
Patients with conditions unrelated to RNA transcription or those not affected by transcriptional dysregulation may not benefit from this research.
What this research studies
This research focuses on understanding how RNA molecules are created from DNA, a process crucial for all living organisms and often disrupted in diseases. The team aims to create a sophisticated computational model that can analyze newly transcribed RNA data, allowing for better insights into transcription dynamics. By employing advanced statistical and machine-learning techniques, the project will enhance the ability to measure transcription rates and understand their implications in various health conditions. Patients may benefit from improved diagnostic and therapeutic strategies based on these insights.
Why it matters
Potential benefit: If successful, this research could lead to better understanding and treatment options for diseases related to transcription dysregulation.
How similar studies have gone: Previous research has shown promise in using computational models for RNA analysis, indicating that this approach could yield significant advancements.
Where this research is happening
-
Cold Spring Harbor Laboratory
Cold Spring Harbor, United States Active
Researchers
- Principal investigator: Siepel, Adam Charles — Cold Spring Harbor Laboratory
- Study coordinator: Siepel, Adam Charles
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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.