New methods to detect genetic variations linked to diseases

Novel bioinformatics methods for integrative detection of structural variants from long-read sequencing

['FUNDING_FELLOWSHIP'] · DREXEL UNIVERSITY · NIH-10947071

This study is working on new ways to find changes in our DNA that can be linked to different health issues, using advanced computer techniques to make sure we get the most accurate results possible.

Quick facts

Phase['FUNDING_FELLOWSHIP']
Study typeNih_funding
SexAll
SponsorDREXEL UNIVERSITY (nih funded)
Locations1 site (PHILADELPHIA, UNITED STATES)
Trial IDNIH-10947071 on ClinicalTrials.gov

What this research studies

This research focuses on developing advanced bioinformatics techniques to accurately identify structural variants (SVs) in the human genome, which are often associated with various diseases. By integrating data from multiple sequencing technologies, the project aims to enhance the precision of SV detection. The approach includes creating a machine-learning model that evaluates genomic context and coverage to improve the reliability of SV calls. This could lead to better understanding of genetic variations and their implications for health.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals with known genetic disorders or those at risk for genetic diseases due to family history.

Not a fit: Patients without any genetic disorders or those not interested in genetic testing may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate diagnoses and personalized treatment options for patients with genetic disorders.

How similar studies have performed: Previous research has shown promising results in using integrated sequencing technologies for detecting genetic variations, indicating that this approach has potential for success.

Where this research is happening

PHILADELPHIA, 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.