Advanced analytics to map human viruses and their functions
Official title: Advanced analytics for uncovering virus dynamics and functional potential
Funded at University of Calif-Lawrenc Berkeley Lab · NIH-11375019 · Data updated 2026-11-12
A big data project using AI to map and understand the viruses living in and on humans, including which viruses infect humans, microorganisms, or come from food, and what genes they carry.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Calif-Lawrenc Berkeley Lab NIH-funded |
| Lab location | 1 site (Berkeley, United States) |
| Project start | September 20, 2024 |
| Project end | June 30, 2028 |
| Funding year | 2026 |
| Award (this year) | $1,394,662 |
| NIH project number | 4U01DE034196-03 |
| Project ID | NIH-11375019 on NIH RePORTER |
Who could benefit from this research
✓Could help
Not applicable in this basic science project yet; results may later impact patients through improved diagnostics or therapies.
✕Less likely to help
No direct patient benefit at this stage since it is method development and large-scale data analysis.
What this research studies
This project will use advanced computational methods to classify new and known human-associated viruses, link viruses to their microbial hosts, and annotate the functions of viral genes. Researchers will analyze metagenomic data, build taxonomic frameworks, and create catalogs that organize viral genomes. The goal is to make it easier for clinicians and patients to understand how the human virome may influence health and disease. Results could inform future diagnostics, therapies, and public health strategies.
Why it matters
Potential benefit: If successful, it could improve our understanding of viruses in everyday health and help guide future medical tests and treatments related to viral infections.
How similar studies have gone: Previous viromics work has produced useful viral catalogs; this project seeks to advance classification and functional annotation methods.
Where this research is happening
-
University of Calif-Lawrenc Berkeley Lab
Berkeley, United States Active
Researchers
- Principal investigator: Kyrpides, Nikos C — University of Calif-Lawrenc Berkeley Lab
- Study coordinator: Kyrpides, Nikos C
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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.