Improving genome analysis by identifying and annotating repetitive DNA sequences

Development and Maintenance of RepeatMasker and RepeatModeler

['FUNDING_R01'] · INSTITUTE FOR SYSTEMS BIOLOGY · NIH-11042280

This study is working on improving how we find and label certain repeating parts of DNA in mammals and other organisms, which is important for understanding their genetic makeup and evolution, and it's designed for scientists who want to make genome studies more accurate and reliable.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorINSTITUTE FOR SYSTEMS BIOLOGY (nih funded)
Locations1 site (SEATTLE, UNITED STATES)
Trial IDNIH-11042280 on ClinicalTrials.gov

What this research studies

This research focuses on enhancing the identification and annotation of interspersed repeats in mammalian and other eukaryotic genomes, which are crucial for accurate genome sequence analyses. By utilizing tools like RepeatModeler and RepeatMasker, the project aims to develop methods for uncovering and reconstructing transposable elements (TEs) that have significant impacts on genome activity and evolution. The research addresses the challenges posed by the explosive growth in sequenced species and aims to improve the quality and consistency of genome annotations through better computational methods and curation processes.

Who could benefit from this research

Good fit: Ideal candidates for benefiting from this research include individuals with genetic conditions linked to transposable elements or those undergoing genomic sequencing for diagnostic purposes.

Not a fit: Patients who do not have genetic conditions or are not undergoing genomic analysis may not receive direct benefits from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate genome analyses, benefiting patients by improving our understanding of genetic diseases and evolutionary biology.

How similar studies have performed: Other research has shown success in improving genome analysis through similar computational approaches, indicating a promising avenue for advancements in this field.

Where this research is happening

SEATTLE, 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.