Improving cancer genomics data analysis and management
Official title: Cancer Genomics: Integrative and Scalable Solutions in R/Bioconductor
Funded at Graduate School of Public Health and Health Policy · NIH-10865962 · Data updated 2026-11-12
This study is working on making software that helps scientists better understand cancer by combining different types of biological information, which could lead to better treatments and personalized care for patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Graduate School of Public Health and Health Policy NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | July 1, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2024 |
| Award (this year) | $846,735 |
| NIH project number | 1U24CA289073-01 |
| Project ID | NIH-10865962 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for benefiting from this research include patients with advanced cancer who may be part of genomic studies or clinical trials utilizing improved data analysis tools.
✕Less likely to help
Patients with early-stage cancer or those not involved in genomic research may not receive direct benefits from this research.
What this research studies
This research focuses on enhancing the Bioconductor software ecosystem, which is essential for analyzing and managing cancer genomics data. It aims to develop tools that allow for the integration of various types of biological data, including DNA sequences and gene expression, to better understand cancer at the single-cell level. By improving data analysis methods and creating a more user-friendly platform, this project seeks to facilitate collaboration among researchers and improve the accessibility of cancer genomics data. Patients may benefit indirectly through advancements in cancer treatment and personalized medicine derived from improved data insights.
Why it matters
Potential benefit: If successful, this research could lead to more effective cancer treatments tailored to individual patients based on comprehensive genomic data analysis.
How similar studies have gone: Other research has shown success in utilizing advanced data analysis tools in cancer genomics, indicating that this approach has the potential for significant advancements.
Where this research is happening
-
Graduate School of Public Health and Health Policy
New York, United States Active
Researchers
- Principal investigator: Waldron, Levi — Graduate School of Public Health and Health Policy
- Study coordinator: Waldron, Levi
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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.