Developing cloud-based tools for analyzing cancer research data
Official title: TOPIC 464: CLOUD-BASED MULTIMODAL DATA ANALYSIS SOFTWARE FOR THE CANCER RESEARCH DATA COMMONS
Funded at Anaconda, INC · NIH-11192460 · Data updated 2026-11-12
This study is all about making cool software that helps cancer researchers see and understand their data better, so they can work together more easily and share their findings with everyone.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Anaconda, INC NIH-funded |
| Lab location | 1 site (Austin, United States) |
| Project start | September 16, 2024 |
| Project end | September 15, 2025 |
| Funding year | 2024 |
| Award (this year) | $399,828 |
| NIH project number | 75N91024C00080-0-9999-1 |
| Project ID | NIH-11192460 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are cancer patients whose data can be analyzed using the new visualization tools developed through this project.
✕Less likely to help
Patients with conditions unrelated to cancer or those not involved in research data collection may not benefit from this research.
What this research studies
This research focuses on creating advanced software tools that help visualize and analyze the vast amounts of data generated in cancer research. By utilizing the HoloViz suite of Python tools, the project aims to provide flexible and interactive visualizations that can handle both small and large datasets. These tools will be designed to facilitate collaboration among researchers, allowing them to gain insights from complex data in a user-friendly manner. The outcomes will be shared as open-source resources, enabling the broader research community to benefit from these innovations.
Why it matters
Potential benefit: If successful, this research could significantly enhance the ability of cancer researchers to interpret complex data, leading to better insights and potentially improved treatment strategies.
How similar studies have gone: Other research initiatives have successfully developed similar data analysis tools, indicating a promising potential for this approach in cancer research.
Where this research is happening
-
Anaconda, INC
Austin, United States Active
Researchers
- Principal investigator: Bednar, James — Anaconda, INC
- Study coordinator: Bednar, James
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.