Developing statistical methods to understand microbial communities using advanced sequencing data
DMS/NIGMS 2: Bayesian Statistical Methods for Comprehensive Inferences on Microbial Community Dynamics Using High-Throughput Sequencing Data
['FUNDING_R01'] · UNIVERSITY OF CALIFORNIA SANTA CRUZ · NIH-11043535
This study is looking at how tiny microbes in our bodies work together and affect our health by using advanced methods to analyze complex data, which could help us understand their role in diseases and improve treatments.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIFORNIA SANTA CRUZ (nih funded) |
| Locations | 1 site (SANTA CRUZ, UNITED STATES) |
| Trial ID | NIH-11043535 on ClinicalTrials.gov |
What this research studies
This research focuses on creating advanced Bayesian statistical methods to analyze and interpret complex data from microbial communities. By utilizing high-throughput sequencing data, the project aims to uncover how these microbial communities function and interact with their environments. The researchers will address challenges in modeling this data, particularly in longitudinal and multi-omics studies, to provide more accurate insights into microbial dynamics. This could lead to better understanding of the microbiome's role in health and disease management.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals involved in microbiome studies or those with conditions influenced by microbial dynamics.
Not a fit: Patients who do not have any microbiome-related health issues or are not participating in microbiome studies may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved strategies for managing health and disease through a better understanding of microbial communities.
How similar studies have performed: Other research has shown success in using Bayesian methods for analyzing complex biological data, indicating a promising approach in this area.
Where this research is happening
SANTA CRUZ, UNITED STATES
- UNIVERSITY OF CALIFORNIA SANTA CRUZ — SANTA CRUZ, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: LEE, JU HEE — UNIVERSITY OF CALIFORNIA SANTA CRUZ
- Study coordinator: LEE, JU HEE
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.