Improving methods to analyze RNA sequencing data
Computational Methods for Assembling Multiple RNA-seq Samples
['FUNDING_R01'] · PENNSYLVANIA STATE UNIVERSITY, THE · NIH-11019704
This study is working on new ways to better understand how genes are active by improving the analysis of RNA sequencing data, which is important for health research, so that scientists can get a clearer picture of gene expression in different samples.
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-11019704 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing the analysis of RNA sequencing (RNA-seq) data, which is crucial for understanding gene activity in biological and biomedical studies. It aims to develop advanced computational methods to assemble full-length transcripts from multiple RNA-seq samples, addressing the limitations of current transcriptome completeness. By utilizing innovative algorithms that leverage shared information across samples, the project seeks to improve the accuracy of gene expression quantification, which is essential for various applications in health and disease.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals undergoing RNA-seq analysis for various biological conditions, particularly those with complex genetic profiles.
Not a fit: Patients who do not undergo RNA-seq analysis or have conditions unrelated to gene expression studies may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate assessments of gene expression, benefiting patients by improving the understanding of diseases at the molecular level.
How similar studies have performed: Previous studies have shown success with similar computational approaches in RNA-seq analysis, indicating a promising foundation for this research.
Where this research is happening
UNIVERSITY PARK, UNITED STATES
- PENNSYLVANIA STATE UNIVERSITY, THE — UNIVERSITY PARK, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: SHAO, MINGFU — PENNSYLVANIA STATE UNIVERSITY, THE
- Study coordinator: SHAO, MINGFU
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.