Advanced data analysis for cancer research using computational biology techniques
Official title: Biostatistics and Computational Biology (BCB) Core
Funded at Weill Medical Coll of Cornell Univ · NIH-10847993 · Data updated 2026-11-12
This study is looking at new ways to analyze cancer-related data to help patients understand their unique cancer profiles better, which could lead to more personalized treatment options just for them.
Quick facts
| Grant type | P01 program project |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Weill Medical Coll of Cornell Univ NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | August 12, 2024 |
| Project end | July 31, 2029 |
| Funding year | 2024 |
| Award (this year) | $263,328 |
| NIH project number | 1P01CA272295-01A1 |
| Project ID | NIH-10847993 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit include cancer patients undergoing genomic profiling or those involved in clinical trials related to cancer treatments.
✕Less likely to help
Patients with non-cancerous conditions or those not undergoing genomic analysis may not receive any benefit from this research.
What this research studies
This research focuses on developing and implementing advanced biostatistical and computational biology methods to analyze complex omics data related to cancer. By utilizing a variety of genomic techniques such as next-generation sequencing, ChIP-seq, and spatial metabolomics, the project aims to provide comprehensive insights into cancer biology. Patients may benefit from improved understanding of their cancer profiles through personalized data analysis, which could lead to more tailored treatment options. The research involves collaboration between experts from the Meyer Cancer Center and the Department of Biostatistics, ensuring a robust approach to data processing and analysis.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective cancer treatments based on detailed genomic insights.
How similar studies have gone: Previous research has shown success in utilizing computational biology approaches for cancer genomics, indicating a promising potential for this project.
Where this research is happening
-
Weill Medical Coll of Cornell Univ
New York, United States Active
Researchers
- Principal investigator: Mason, Christopher Edward — Weill Medical Coll of Cornell Univ
- Study coordinator: Mason, Christopher Edward
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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.