FET: Small: AlignMEM: Fast and Efficient DNA Sequence Alignment in Non-Volatile Magnetic R — NSF Award to Arizona State University
The state-of-the-art DNA sequencing technologies could generate Terabytes of DNA sequence data in a single run, and their throughput is expected to increase 3-5 times each year in the coming years. In order to apply these big DNA-data into follow-up complex disease diagnostics/prognostics, such as cancer risk assessmen
| Award title | FET: Small: AlignMEM: Fast and Efficient DNA Sequence Alignment in Non-Volatile Magnetic R |
|---|---|
| Award ID | 2528723 |
| Awardee | Arizona State University |
| City | SCOTTSDALE |
| State | AZ |
| Amount obligated | $121,781 |
| Principal investigator | Deliang Fan |
| Program | FET-Fndtns of Emerging Tech |
| Start date | 10/01/2024 |
| Abstract | The state-of-the-art DNA sequencing technologies could generate Terabytes of DNA sequence data in a single run, and their throughput is expected to increase 3-5 times each year in the coming years. In order to apply these big DNA-data into follow-up complex disease diagnostics/prognostics, such as cancer risk assessment, tailor patient treatment, and prenatal testing, they must be first aligned to a 3.2-billion-length human reference genome. However, the existing software tools for this purpose |
| Source | NSF Awards |
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