Cancer Galaxy: an easy online workbench to help researchers analyze cancer data
Developing a Cancer Galaxy Computational Workbench to Meet Emerging Cancer Data Analysis Needs
['FUNDING_OTHER'] · H. LEE MOFFITT CANCER CTR & RES INST · NIH-11171610
Building a user-friendly online platform so cancer researchers can run, share, and reproduce complex data analyses without deep coding skills.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | H. LEE MOFFITT CANCER CTR & RES INST (nih funded) |
| Locations | 1 site (TAMPA, UNITED STATES) |
| Trial ID | NIH-11171610 on ClinicalTrials.gov |
What this research studies
This project will create Galaxy-C, a web-based, cloud-ready platform that links cancer datasets, analysis tools, and compute resources in one place. The team will integrate existing cancer data and validated workflows, add simple interfaces and visualizations, and support large-scale cloud or institutional computing. They will collaborate with labs, clinical trial teams, and national consortia to test, refine, and document the platform. Galaxy-C aims to make high-quality cancer data analysis faster, more reliable, and easier for researchers with limited computational training.
Who could benefit from this research
Good fit: This project is aimed at cancer researchers, clinicians running trials, and labs that analyze patient-derived genomic and clinical data rather than individual patients enrolling for treatment.
Not a fit: Patients seeking direct medical treatment are unlikely to receive immediate benefit, since the grant funds research tools rather than clinical care or therapies.
Why it matters
Potential benefit: If successful, the platform could speed cancer discoveries and help translate research findings into better tests and treatments more quickly.
How similar studies have performed: Related bioinformatics platforms like the original Galaxy and other data portals have successfully improved data sharing and analysis, and this project adapts those proven approaches specifically for cancer workflows and cloud-scale datasets.
Where this research is happening
TAMPA, UNITED STATES
- H. LEE MOFFITT CANCER CTR & RES INST — TAMPA, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: GOECKS, JEREMY — H. LEE MOFFITT CANCER CTR & RES INST
- Study coordinator: GOECKS, JEREMY
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 below.
Conditions: Cancers