Analyzing evolutionary patterns in genomes
Methods for Evolutionary Genomics Analysis
This study is exploring new ways to analyze genetic information from different species to better understand how traits evolve, which could help improve personalized medicine and our knowledge of genetic diseases that affect patients like you.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Temple Univ of the Commonwealth NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project ID | NIH-11010414 on NIH RePORTER |
What this research studies
This research focuses on developing innovative methods for analyzing large genomic datasets to understand evolutionary patterns across various species. By utilizing machine learning techniques, the project aims to improve the efficiency and accuracy of phylogenomic analyses, which are crucial for interpreting how biological traits evolve over time. Patients may benefit from insights gained through this research, as it could lead to advancements in personalized medicine and understanding genetic diseases. The research will involve creating models that link genomic data to evolutionary hypotheses, enhancing our understanding of genetic factors in health and disease.
Who could benefit from this research
Good fit: Ideal candidates for participation or benefit from this research would include individuals with genetic conditions or those interested in understanding the genetic basis of their health.
Not a fit: Patients with conditions unrelated to genetic factors or those not interested in genetic analysis may not receive benefit from this research.
Why it matters
Potential benefit: If successful, this research could provide valuable insights into genetic factors that influence health and disease, potentially leading to improved personalized treatment options.
How similar studies have performed: Previous research has shown success in using machine learning approaches for genomic analysis, indicating that this methodology has the potential for impactful results.
Where this research is happening
Philadelphia, United States
- Temple Univ of the Commonwealth — Philadelphia, United States (Active)
Researchers
- Principal investigator: Kumar, Sudhir — Temple Univ of the Commonwealth
- Study coordinator: Kumar, Sudhir
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.