Using data science tools to analyze complex genomics data
Official title: Data Science Tools to Increase Insight in Genomics Data
Funded at Johns Hopkins University · NIH-11073084 · Data updated 2026-11-12
This study is exploring new ways to understand how our cells work by looking closely at their genetic information, which could help doctors find better ways to diagnose and treat diseases.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Johns Hopkins University NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project start | July 1, 2023 |
| Project end | April 30, 2028 |
| Funding year | 2025 |
| Award (this year) | $462,324 |
| NIH project number | 5R35GM149323-03 |
| Project ID | NIH-11073084 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research are individuals with conditions related to genetic and epigenetic factors.
✕Less likely to help
Patients with conditions that are not influenced by genomic data or those not seeking genomic-based interventions may not receive benefit from this research.
What this research studies
This research focuses on developing advanced statistical methods to analyze complex data generated from high-throughput molecular technologies. By improving the analysis of cellular processes, the project aims to enhance our understanding of various biological mechanisms, including DNA methylation and transcription factor binding. The research will utilize innovative techniques such as single-cell RNA sequencing and nanopore sequencing to provide insights into cellular functions and epigenomics. Patients may benefit from the findings as they could lead to improved diagnostics and treatments based on genomic data.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and personalized medical treatments based on genomic insights.
How similar studies have gone: Other research has shown success in utilizing data science approaches to analyze genomic data, indicating a promising avenue for further exploration.
Where this research is happening
-
Johns Hopkins University
Baltimore, United States Active
Researchers
- Principal investigator: Hansen, Kasper Daniel — Johns Hopkins University
- Study coordinator: Hansen, Kasper Daniel
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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.