Developing a user-friendly system for analyzing long RNA sequences

A Modular Framework for Accurate, Interpretable, and Reproducible Analysis of Long Read RNA-Seq Data

['FUNDING_R01'] · UNIV OF NORTH CAROLINA CHAPEL HILL · NIH-11050793

This study is working on a user-friendly tool that helps biologists and researchers easily analyze RNA sequencing data, so they can better understand gene expression in different samples without needing advanced technical skills.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorUNIV OF NORTH CAROLINA CHAPEL HILL (nih funded)
Locations1 site (CHAPEL HILL, UNITED STATES)
Trial IDNIH-11050793 on ClinicalTrials.gov

What this research studies

This research focuses on creating a modular framework that simplifies the analysis of long read RNA sequencing data. By developing easy-to-use pipelines, the project aims to enable biologists and analysts without advanced bioinformatics training to accurately assess transcript expression across various biological samples. The approach includes enhancing the accuracy and reproducibility of results while facilitating the discovery of novel transcripts and quantifying their abundance. The framework will be deployable on cloud platforms, making it accessible for a wider range of users.

Who could benefit from this research

Good fit: Ideal candidates for participation or benefit from this research include individuals with genetic conditions or diseases where RNA expression plays a critical role in understanding their condition.

Not a fit: Patients who do not have conditions related to RNA expression or who are not involved in biological research may not receive direct benefits from this research.

Why it matters

Potential benefit: If successful, this research could significantly improve the ability to analyze complex RNA data, leading to better understanding of gene expression and potential advancements in personalized medicine.

How similar studies have performed: Other research has shown success in developing user-friendly bioinformatics tools, indicating that this approach has the potential for meaningful advancements in the field.

Where this research is happening

CHAPEL HILL, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.