Developing new methods to analyze DNA from individual cells
Development and Application of Computational Methods for Single Cell DNA Sequencing Data
This study is exploring new ways to look at DNA from individual cells to find important genetic changes that might be overlooked with regular testing, which could help us better understand diseases like cancer.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Harvard Medical School NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-10874655 on NIH RePORTER |
What this research studies
This research focuses on creating advanced computational techniques to analyze DNA sequencing data from single cells, which can reveal important genetic variations that are often missed in standard bulk sequencing. The project aims to improve the identification of genetic alterations, such as single nucleotide variants and copy number changes, by utilizing machine learning models and innovative amplification methods. By applying these techniques to significant biological questions, the research seeks to enhance our understanding of genetic diversity and its implications in diseases like cancer.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals with specific genetic conditions or cancers that could benefit from detailed genomic analysis.
Not a fit: Patients with stable, non-genetic conditions or those not requiring genomic analysis may not receive any benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more precise genetic insights that improve diagnosis and treatment strategies for various cancers and genetic disorders.
How similar studies have performed: Previous research has shown promising results using similar computational approaches in genomic analysis, indicating a strong potential for success in this novel application.
Where this research is happening
Boston, United States
- Harvard Medical School — Boston, United States (Active)
Researchers
- Principal investigator: Park, Peter J — Harvard Medical School
- Study coordinator: Park, Peter J
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.