Improving methods for analyzing biological sequence data
Advanced computational methods in analyzing high-throughput sequencing data
This study is working on creating better computer tools to help scientists quickly and accurately analyze DNA sequences, which will make it easier to understand genetic information and improve healthcare for patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Dana-Farber Cancer Inst NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-11040310 on NIH RePORTER |
What this research studies
This research focuses on developing advanced computational algorithms to enhance the analysis of large-scale biological sequence data. It aims to create faster and more accurate tools for sequence alignment and genome assembly, addressing limitations of existing software that cannot fully utilize modern sequencing technologies. The project includes developing algorithms for accurate long-read alignment, improving assembly methods for new sequencing technologies, and creating tools for gene annotation. These advancements will ultimately facilitate better understanding and application of genomic data in clinical settings.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals undergoing genomic sequencing for various medical conditions, particularly those with complex genetic backgrounds.
Not a fit: Patients who do not require genomic sequencing or those with conditions that are not influenced by genetic factors may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more precise genomic analyses, improving diagnosis and treatment options for patients with genetic conditions.
How similar studies have performed: Previous research has shown success in developing computational tools for genomic analysis, indicating a promising potential for this novel approach.
Where this research is happening
Boston, United States
- Dana-Farber Cancer Inst — Boston, United States (Active)
Researchers
- Principal investigator: Li, Heng — Dana-Farber Cancer Inst
- Study coordinator: Li, Heng
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.