Improving analysis of bacterial sequencing data
DMS/NIGMS 1: Addressing Measurement Limitations for Sequence Count Data
['FUNDING_R01'] · PENNSYLVANIA STATE UNIVERSITY, THE · NIH-10894214
This study is working on new ways to better understand the bacteria in our bodies, like those in the gut, by improving the tools used to analyze the data from tests, which could help patients learn more about their health and how their microbiomes affect them.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | PENNSYLVANIA STATE UNIVERSITY, THE (nih funded) |
| Locations | 1 site (UNIVERSITY PARK, UNITED STATES) |
| Trial ID | NIH-10894214 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing the analysis of sequence count data, particularly in the context of 16S rRNA sequencing, which is commonly used to study bacteria in various environments, including the human gut. The researchers aim to develop new statistical tools and frameworks to address measurement biases and scale limitations that can affect the interpretation of sequencing results. By creating a theoretical framework and validating it through real case studies, the project seeks to provide more accurate insights into the biological systems being studied. Patients may benefit from improved understanding of their microbiomes and related health conditions as a result of these advancements.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals undergoing microbiome analysis or those with conditions influenced by gut bacteria.
Not a fit: Patients who do not have any microbiome-related health issues or are not undergoing sequencing analysis may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate assessments of bacterial communities in patients, potentially improving diagnosis and treatment of related health issues.
How similar studies have performed: Previous research has shown that addressing measurement biases in biological data can lead to significant improvements in understanding complex biological systems, indicating that this approach has potential for success.
Where this research is happening
UNIVERSITY PARK, UNITED STATES
- PENNSYLVANIA STATE UNIVERSITY, THE — UNIVERSITY PARK, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: SILVERMAN, JUSTIN D — PENNSYLVANIA STATE UNIVERSITY, THE
- Study coordinator: SILVERMAN, JUSTIN D
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.