Tools for analyzing cancer mutations quickly and effectively
OpenCRAVAT: Informatics Tools for High-Throughput Analysis of Cancer Mutations
This study is creating a helpful software tool called OpenCRAVAT that makes it easier for cancer researchers to understand and prioritize important DNA mutations linked to cancer, so they can focus on the most relevant information for their work.
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 ID | NIH-11085224 on NIH RePORTER |
What this research studies
This research develops a software tool called OpenCRAVAT that helps analyze a vast number of DNA mutations associated with cancer. By using advanced computational methods, it prioritizes mutations based on their potential biological significance, allowing researchers to focus on the most informative ones. The tool integrates various evaluation metrics, including mutation frequency and previous occurrences in tumor types, to provide a comprehensive analysis. It is designed for both basic and clinical cancer researchers, facilitating high-throughput tumor sequencing.
Who could benefit from this research
Good fit: Ideal candidates for this research are cancer patients whose tumors have been sequenced and who may benefit from insights into specific mutations.
Not a fit: Patients without sequenced tumors or those with non-cancerous conditions may not receive any benefit from this research.
Why it matters
Potential benefit: If successful, this research could enhance the understanding of cancer mutations, leading to better-targeted therapies and improved patient outcomes.
How similar studies have performed: Other research has successfully utilized computational tools for mutation analysis, indicating a promising approach in this area.
Where this research is happening
Baltimore, United States
- Johns Hopkins University — Baltimore, United States (Active)
Researchers
- Principal investigator: Karchin, Rachel — Johns Hopkins University
- Study coordinator: Karchin, Rachel
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.