Improving tools for genome annotation and visualization
Official title: Enhancements to the GMOD Suite of Genome Annotation and Visualization Tools
Funded at University of California Berkeley · NIH-11043398 · Data updated 2026-11-12
This study is working to make it easier for biologists to use online tools that help them understand genes and genomes by adding smart features that suggest helpful information and improve how they explore and visualize genetic data.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Berkeley NIH-funded |
| Lab location | 1 site (Berkeley, United States) |
| Project start | March 1, 2024 |
| Project end | December 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $649,922 |
| NIH project number | 5R01HG004483-16 |
| Project ID | NIH-11043398 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research include biologists and researchers working with genomic data who require improved tools for data analysis and visualization.
✕Less likely to help
Patients who are not involved in genomic research or do not require bioinformatics tools for their work may not receive any benefit from this research.
What this research studies
This research focuses on enhancing the Generic Model Organism Database (GMOD) and its genome browser, JBrowse, to make bioinformatics tools more user-friendly and accessible for biologists. By integrating machine learning capabilities, the project aims to provide automated recommendations that assist users in reviewing genomic evidence and forming hypotheses. Additionally, it will improve navigation between related genomes and visualize genomic data in a more informative way, ultimately facilitating better understanding and analysis of genetic information.
Why it matters
Potential benefit: If successful, this research could significantly enhance the ability of biologists to analyze and interpret genomic data, leading to advancements in various biological fields.
How similar studies have gone: Previous research has shown success in enhancing bioinformatics tools, indicating that this approach has the potential for meaningful advancements in the field.
Where this research is happening
-
University of California Berkeley
Berkeley, United States Active
Researchers
- Principal investigator: Holmes, Ian H — University of California Berkeley
- Study coordinator: Holmes, Ian H
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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.